| semantic wiki|
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|Related keyword(s)||semantic web|
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semantic wiki is included as keyword or extra keyword in 2 datasets, 0 tools and 204 publications.
|DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the web to Wikipedia data.|
|SWEETpedia||English||SWEETpedia is a periodic update of semantic web-related research using Wikipedia.|
There is no tools for this keyword.
|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|A social network system for sharing construction safety and health knowledge||Le Q.T.
|Automation in Construction||English||2014||Due to the complicated and complex working environments, construction site still presents high accident rate, which is causing serious project delay and cost overrun. Abundant studies have focused on cause and effect on fatalities or safety training system, and so on. Most of them on this issue have been emphasized the necessity and utilization of information, rather than how to exchange, share and transfer safety data efficiently in the construction industry. With this regard, this paper proposes the Social Network System for Sharing Construction Safety & Health Knowledge (SNSS), which utilizes state-of-the-art of semantic wiki web and ontology construction technologies for better communication and representation for construction safety information. The SNSS is developed on the basis of safety semantic wiki template (SSWT), which consists of the following three modules: 1) A Safety information module (SIM) which upload common accident and hazard information for sharing; 2) A Safety knowledge module (SKM) where the safety information is refined, confirmed and transferred to safety knowledge; 3) A Safety dissemination module (SDM) which allows its users to monitor, manage and retrieve safety information and knowledge easily. The SNSS is tested by a scenario of using falling accident information by which the potentials and limitations of the system were addressed. The study emphasizes the potential applicability and benefits of social network system that could be utilized to enhance communication among participants in the construction industry. © 2014 Elsevier B.V.||0||0|
|Utilizing semantic Wiki technology for intelligence analysis at the tactical edge||Little E.||Proceedings of SPIE - The International Society for Optical Engineering||English||2014||Challenges exist for intelligence analysts to efficiently and accurately process large amounts of data collected from a myriad of available data sources. These challenges are even more evident for analysts who must operate within small military units at the tactical edge. In such environments, decisions must be made quickly without guaranteed access to the kinds of large-scale data sources available to analysts working at intelligence agencies. Improved technologies must be provided to analysts at the tactical edge to make informed, reliable decisions, since this is often a critical collection point for important intelligence data. To aid tactical edge users, new types of intelligent, automated technology interfaces are required to allow them to rapidly explore information associated with the intersection of hard and soft data fusion, such as multi-INT signals, semantic models, social network data, and natural language processing of text. Abilities to fuse these types of data is paramount to providing decision superiority. For these types of applications, we have developed BLADE. BLADE allows users to dynamically add, delete and link data via a semantic wiki, allowing for improved interaction between different users. Analysts can see information updates in near-real-time due to a common underlying set of semantic models operating within a triple store that allows for updates on related data points from independent users tracking different items (persons, events, locations, organizations, etc.). The wiki can capture pictures, videos and related information. New information added directly to pages is automatically updated in the triple store and its provenance and pedigree is tracked over time, making that data more trustworthy and easily integrated with other users' pages.||0||0|
|A distributed ontology repository management approach based on semantic wiki||Rao G.
|Communications in Computer and Information Science||English||2013||As the foundation of Semantic Web, the size of ontologies on the Web has developed into tens of billions. Furthermore, the creation process of the repository takes place through open collaboration. However, the problem of inconsistent repository is made even worse because of openness and collaboration. Semantic wiki provides a new approach to build large-scale, unified semantic knowledge base. This paper focuses on the relevant problems, technologies and applications of semantic wiki based ontology repository with the combination of semantic wiki technologies and distributed ontology repository. A distributed ontology repository management approach and platform based on semantic wiki is presented. The platform is divided into three layers, including distributed ontology management layer, business logic layer, and application performance layer. Self-maintenance and optimization of distributed ontology repository is implemented by the management module with technology of ontology reasoning, ontology view extraction and ontology segmentation. The unified interface of the repository to provide knowledge storage and query services to application of semantic web is provided through knowledge bus mechanism with distributed ontology encapsulated. In the business logic layer, the operations of wiki and ontology are mapped to manage the wiki pages and ontology resources through mapping the wiki entries and ontology resources. In the application performance layer, a friendly interface is provided to build repository through combining the entry information display and the semantic information extraction.||0||0|
|A multilingual semantic wiki based on attempto controlled english and grammatical framework||Kaljurand K.
|Lecture Notes in Computer Science||English||2013||We describe a semantic wiki system with an underlying controlled natural language grammar implemented in Grammatical Framework (GF). The grammar restricts the wiki content to a well-defined subset of Attempto Controlled English (ACE), and facilitates a precise bidirectional automatic translation between ACE and language fragments of a number of other natural languages, making the wiki content accessible multilingually. Additionally, our approach allows for automatic translation into the Web Ontology Language (OWL), which enables automatic reasoning over the wiki content. The developed wiki environment thus allows users to build, query and view OWL knowledge bases via a user-friendly multilingual natural language interface. As a further feature, the underlying multilingual grammar is integrated into the wiki and can be collaboratively edited to extend the vocabulary of the wiki or even customize its sentence structures. This work demonstrates the combination of the existing technologies of Attempto Controlled English and Grammatical Framework, and is implemented as an extension of the existing semantic wiki engine AceWiki.||0||0|
|A semantic wiki to support knowledge sharing in innovation activities||Lahoud I.
|Lecture Notes in Electrical Engineering||English||2013||We will present in this paper how to ensure the creation, the validation and the sharing of ideas by using a Semantic Wiki approach. We describe the system called Wiki-I which is used by engineers to allow them to formalize their ideas during the research solutions activities. Wiki-I is based on an ontology of the innovation domain which allows to structure the wiki pages and to store the knowledge posted by the engineers. In this paper, we will explain how Wiki-I ensures the reliability of the innovative ideas thanks to an idea of evaluation process. After explaining the interest of the use of semantic wikis in innovation management approach, we describe the architecture of Wiki-I with its semantic functionalities. At the end of the paper, we prove the effectiveness of Wiki-I with an ideas evaluation example in the case of students challenge for innovation.||0||0|
|An initial analysis of semantic wikis||Gil Y.
|International Conference on Intelligent User Interfaces, Proceedings IUI||English||2013||Semantic wikis augment wikis with semantic properties that can be used to aggregate and query data through reasoning. Semantic wikis are used by many communities, for widely varying purposes such as organizing genomic knowledge, coding software, and tracking environmental data. Although wikis have been analyzed extensively, there has been no published analysis of the use of semantic wikis. We carried out an initial analysis of twenty semantic wikis selected for their diverse characteristics and content. Based on the number of property edits per contributor, we identified several patterns to characterize community behaviors that are common to groups of wikis.||0||0|
|ISICIL: Semantics and social networks for business intelligence||Michel Buffa
|Lecture Notes in Computer Science||English||2013||The ISICIL initiative (Information Semantic Integration through Communities of Intelligence onLine) mixes viral new web applications with formal semantic web representations and processes to integrate them into corporate practices for technological watch, business intelligence and scientific monitoring. The resulting open source platform proposes three functionalities: (1) a semantic social bookmarking platform monitored by semantic social network analysis tools, (2) a system for semantically enriching folksonomies and linking them to corporate terminologies and (3) semantically augmented user interfaces, activity monitoring and reporting tools for business intelligence.||0||0|
|Investigating a multi-paradigm system for the management of archaeological data: Corpus Lapidum Burgundiae||Leclercq E.
|Proceedings of the DigitalHeritage 2013 - Federating the 19th Int'l VSMM, 10th Eurographics GCH, and 2nd UNESCO Memory of the World Conferences, Plus Special Sessions fromCAA, Arqueologica 2.0 et al.||English||2013||Scientific Information Systems (SIS) must move beyond data repositories and closed systems, to allow collaborations among different research disciplines, to include new types of data, to control data quality, and to enable semantic interoperability. Archaeological data include textual information, measures, sketches, photographies, 3D models, and a vast amount of links between data and historical information sources. We develop a formal model for ontology-based annotations that conforms to a semi-ring algebraic structure and we define a subset of algebraic operators to query annotations. We show how our approach is instantiated in a collaborative Web platform for the Burgundy Stone project.||0||0|
|Knowledge capture in the wild: A perspective from semantic wiki communities||Gil Y.
|Proceedings of the 7th International Conference on Knowledge Capture: "Knowledge Capture in the Age of Massive Web Data", K-CAP 2013||English||2013||Semantic wikis augment wikis with semantic properties that can be used to structure content that can therefore be aggregated and queried through reasoning. Semantic wikis have been adopted by many communities for very diverse purposes, such as organizing genomic knowledge, coding software, learn about hobbies, and tracking environmental data. Although wikis have been analyzed extensively, there has been little analysis of the use of semantic wikis. In this paper, we analyze the formalization of knowledge in 230 semantic wiki communities. We report our findings in terms of the edits of semantic concepts and properties, as well as the communities of editors for these semantic features of the wikis. Copyright||0||0|
|Knowledge-based integration of industrial plant models||Abele L.
|IECON Proceedings (Industrial Electronics Conference)||English||2013||The planning and engineering of industrial plants is characterized by a heterogeneous landscape of tools and data formats covering multiple engineering aspects, such as electrical engineering, mechanical engineering, software engineering, etc. To provide plant engineers in different roles with an integrated view on engineering data, we propose a conceptual modelling approach based on MOF layering for representing plant knowledge across multiple disciplins. Furthermore, we suggest to instantiate this conceptual modelling approach on a semantic technology stack featuring semantic data representation based on RDF and web-based plant navigation in a semantic Wiki.||0||0|
|Ontology and semantic wiki for an Intangible Cultural Heritage inventory||Stanley R.
|Proceedings of the 2013 39th Latin American Computing Conference, CLEI 2013||Spanish||2013||The increasing globalization has made the preservation of the Intangible Cultural Heritage (ICH) an urgent need, and the UNESCO's states parties have compromised to make collaborative inventories of ICH. Many traditional inventories become obsolete quickly because they present rigid data models and/or because data adquisition from scarce specialists are required. This article proposes to introduce a participative inventory as a semantic wiki, combining the familiarity of the audience with the free text, the expressive power of ontologies, and the benefits of wikis for the controled social enrichment. The scope has been validated in a pilot inventory with public access, that combine an Ontowiki instance, a new ontology based on UNESCO's clasification, and the data of an existent Chilean ICH inventory. Preliminary results indicate that the semantic-based catalog is much more flexible than existing traditional catalogs. Using these collaborative enrichment will enable active involvement to citizenship in recording their immaterial heritage.||0||0|
|Promoting best practice sharing within organizations||Angelo Di Iorio
|WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies||English||2013||In recent years we are witnessing the wide adoption of Web 2.0's social software tools (blogs, microblogs, wiki, forums, shared calendars, etc.) within organizations complementing (or even replacing) existing enterprise applications. This trend is justified by the improved immediacy with which information can flow among the members of the organization and by a better support of agile, emergent cooperation models that re-shape the practices and the processes within organizations, allowing their continuous refinement and alignment with the organizations' missions and evolving know-how. One of the problems that arise in this new scenario is that as more and more practices and processes include interactions with several tools, often not controlled by the organization itself, it becomes more difficult to manage the knowledge they embody. In this paper we present an approach to mitigate this problem that plays nicely with the enhanced participation mechanisms triggered by social software. Our proposal revolves around the use of semantic wiki technologies as knowledge management tools; specifically we focus on dealing with practice and process-related knowledge, emerging from users interactions with Web 2.0 applications, and how this knowledge can effectively be represented, shared and made persistent. Copyright||0||0|
|Semantic wiki for learning and teaching computer science||Coccoli M.
|Journal of E-Learning and Knowledge Society||English||2013||This paper discusses the use of a collaborative learning environment, specifically designed for computer science education. In particular, we investigate how students (may) meaningfully learn computer science and how web technologies (may) support them in this process. For a comprehensive view of the problem, different instructional theories are considered, as well as specific requirements for computer science education, driving the research to the adoption of semantic technologies and to the definition of a specific semantic-wiki-based framework. In this scenario, the authors present an on-going research project, named Semantic-WikiSUN, which aims to investigate innovative strategies for learning and teaching computer science in the context of higher education. It is based on the use of semantic-wiki to support the sharing and acquiring of knowledge in this specific knowledge domain, enabling the application of basic pedagogical principles.||0||0|
|Semantic wiki-based knowledge management system by interleaving ontology mapping tool||Jung J.J.||International Journal of Software Engineering and Knowledge Engineering||English||2013||Many organizations have been employing Knowledge Management Systems (KMS) to improve task performance. In this paper, we propose a novel KMS by using semantic wiki framework based on a centralized Global Wiki Ontology (GWO). The main aim of this system is (i) to collect as many organizational resources as possible, and (ii) to maintain semantic consistency of the system. When enriching the KMS in a particular domain, not only linguistic resources but also conceptual structures can be efficiently captured from multiple users, and more importantly, the resources can be automatically integrated with the GWO of the KMS in real time. Once users add new organization resources, the proposed KMS can formalize and contextualize them into a set of triplets by referring to a predefined pattern-triplet mapping table and the GWO. Especially, since the ontology mapper is interleaved, the KMS can determine whether the new resources are semantically conflicted with the GWO. To evaluate the proposed methodology, we have implemented the semantic wiki-based KMS. As a case study, two user groups were invited to collect the organization resources. We found that the group with the proposed KMS has shown better performance than the other group with traditional wiki-based KMS.||0||0|
|Social computing solutions for collaborative learning and knowledge building activities in extended organization||Stokic D.
|ELmL - International Conference on Mobile, Hybrid, and On-line Learning||English||2013||The research presented aims to support Learning and Knowledge Building (LKB) activities of adult learners that act under specific contexts within Extended Organizations. Under Extended Organization is understood a community that emerges as a temporal integration of two or more different business, educational communities and organizational cultures (industrial, research and educational) and leverages ICT technologies to support LKB activities. The objective of the research is to explore supportive social computing based technologies for (cross-)organizational collaborative LKB activities. The technological developments are embedded in a pedagogical framework that puts a special focus on the harmonization of individual and organizational objectives. The proposed extended organizational concept and SW services developed to support such concept were investigated within two different cross-organizations: one including a large industrial company and a research institute and a university and the second one including a small industrial company and a department of a university. The results of testing and evaluation are presented and key lessons learned are discussed.||0||0|
|The ReqWiki approach for collaborative software requirements engineering with integrated text analysis support||Bahar Sateli
|Proceedings - International Computer Software and Applications Conference||English||2013||The requirements engineering phase within a software project is a heavily knowledge-driven, collaborative process that typically involves the analysis and creation of a large number of textual artifacts. We know that requirements engineering has a large impact on the success of a project, yet sophisticated tool support, especially for small to mid-size enterprises, is still lacking. We present Reqwiki, a novel open source web-based approach based on a semantic wiki that includes natural language processing (NLP) assistants, which work collaboratively with humans on the requirements specification documents. We evaluated Reqwiki with a number of software engineers to investigate the impact of our novel semantic support on software requirements engineering. Our user studies prove that (i) software engineers unfamiliar with NLP can easily leverage these assistants and (ii) semantic assistants can help to significantly improve the quality of requirements specifications.||0||0|
|The democratization of semantic properties: An analysis of semantic wikis||Gil Y.
|Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013||English||2013||Semantic wikis augment wikis with semantic properties that can be used to aggregate and query data through reasoning. Semantic wikis are used by many communities, for widely varying purposes such as organizing genomic knowledge, coding software, and tracking environmental data. Although wikis have been analyzed extensively, there has been no published analysis of the use of semantic wikis. In this paper, we analyze twenty semantic wikis selected for their diverse characteristics and content. We analyze the property edits and compare to the total number of edits in the wiki. We also show how semantic properties are created over the lifetime of the wiki.||0||0|
|Use of semantic wiki as a capturing tool for lessons learned in project management||Elkaffas S.M.
|Proceedings of 2013 Science and Information Conference, SAI 2013||English||2013||The use of lessons learned in project management is still not fully satisfactory. The current web-based project management systems (WPMS) mainly support project lifecycle with no much consideration to project initiation and closing. The main objective of this paper is to incorporate the features of semantic web and features of wiki technology to capture project lessons learned knowledge. This paper also illustrates how the semantic wiki can utilize structured collaboration knowledge sharing to improve closing and initiation phases in project management. A prototype has been developed using semantic MediaWiki in virtual environment, real project data obtained and inserted into the system. A questionnaire has been designed and used for data gathering in an Egyptian engineering and construction company. Questionnaire analysis showed that semantic wiki improved lessons learned capture process.||0||0|
|WikiPapers, una recopilación colaborativa de literatura sobre wikis usando MediaWiki y su extensión semántica||Emilio J. Rodríguez-Posada
Juan Manuel Dodero-Beardo
|IV Jornadas Predoctorales de la ESI||Spanish||December 2012||El interés de los investigadores por los wikis, en especial Wikipedia, ha ido en aumento en los últimos años. La primera edición de WikiSym, un simposio sobre wikis, se celebró en 2005 y desde entonces han aparecido multitud de congresos, workshops, conferencias y competiciones en este área. El estudio de los wikis es un campo emergente y prolífico. Ha habido varios intentos, aunque con escaso éxito, de recopilar toda la literatura sobre wikis. En este artículo presentamos WikiPapers, un proyecto colaborativo para recopilar toda la literatura sobre wikis. Hasta noviembre de 2012 se han recopilado más de 1.700 publicaciones y sus metadatos, además de documentación sobre herramientas y datasets relacionados.||9||0|
|A conceptual framework and experimental workbench for architectures||Konersmann M.
|Lecture Notes in Computer Science||English||2012||When developing the architecture of a software system, inconsistent architecture representations and missing specifications or documentations are often a problem. We present a conceptual framework for software architecture that can help to avoid inconsistencies between the specification and the implementation, and thus helps during the maintenance and evolution of software systems. For experimenting with the framework, we present an experimental workbench. Within this workbench, architecture information is described in an intermediate language in a semantic wiki. The semantic information is used as an experimental representation of the architecture and provides a basis for bidirectional transformations between implemented and specified architecture. A systematic integration of model information in the source code of component models allows for maintaining only one representation of the architecture: the source code. The workbench can be easily extended to experiment with other Architecture Description Languages, Component Models, and analysis languages.||0||0|
|A semantic wiki for editing and sharing decision guidelines in oncology||Meilender T.
|Studies in Health Technology and Informatics||English||2012||The Internet has totally changed the way information is published and shared in medicine. With web 2.0 and semantic web technologies, web applications allow now collaborative information editing in a way that can be reused by machines. These new tools could be used to in local health networks to promote the editing and sharing of medical knowledge between practitioners. Oncolor, a French oncology network, has edited 144 decision guidelines. These local guidelines rely upon national French guidelines and are built and updated collaboratively by medical experts. To improve working conditions, the need of an online collaborative tool has been expressed. This paper presents ONCOLOGIK, a semantic wiki approach for local oncology guideline editing. Semantic wikis allow online collaborative work and manage semantic annotations which can be reused automatically to bring new services. Applied to oncology guidelines, semantic technologies improve the guideline management and provide additional services such as targeted queries to external bibliographical resources. © 2012 European Federation for Medical Informatics and IOS Press. All rights reserved.||0||0|
|An adaptive semantic Wiki for CoPs of teachers - Case of higher education context||Berkani L.
|International Conference on Information Society, i-Society 2012||English||2012||This paper presents an adaptive semantic wiki dedicated to CoPs made up of actors from the higher education context (faculties, lecturers, teaching assistants, lab assistants). The wiki called ASWiki-CoPs (Adaptive Semantic Wiki for CoPs) is based on the semantic web technologies in order to enhance the knowledge sharing and reuse, offering the functionalities of a wiki together with some knowledge management features. ASWiki-CoP is based on an ontology used to describe the knowledge resources through the objective annotations and to express the member's feedback through the subjective annotations. Furthermore, we describe the member's profile in order to allow an adaptive access to the semantic wiki.||0||0|
|An automatic approach for generating tables in semantic wikis||Al-Husain L.
|Journal of Theoretical and Applied Information Technology||English||2012||Wiki is well-known content management systems. Semantic wikis extends the classical wikis with semantic annotations that made its contents more structured. Tabular representations of information have a considerable value, especially in wikis which are rich in content and contain large amount of information. For this reason, we propose an approach for automatically generating tables for representing the semantic data contained in wiki articles. The proposed approach composed of three steps (1) extract the semantic data of Typed Links and Attributes from the wiki articles and call them Article Properties (2) cluster the collection of wiki articles based on extracted properties from the first step, and (3) construct the table that aggregates the shared properties between articles and present them in two-dimensions. The proposed approach is based on a simple heuristic which is the number of properties that are shared between wiki articles. © 2005 - 2012 JATIT & LLS. All rights reserved.||0||0|
|Collaborative machine tool design environment based on semantic wiki technology||Zapp M.
|Proceedings of the European Conference on Knowledge Management, ECKM||English||2012||This paper presents a light-weight collaboration environment for the conceptual design of machine tools. For the design of specialized machine tools and their components, machine designers, customers and suppliers need to gather, retrieve and exchange heterogeneous information like customer requirements, component specifications, design drawings and life-cycle performance data. This knowledge management process can be supported by collaboration tools. Since the European machine tool industry is dominated by SMEs and machine tools are mostly manufactured in small series, light-weight and flexible solutions are required. The collaboration environment proposed in this work is built on the Semantic MediaWiki+ (SMW+) solution, which enhances a regular MediaWiki system with the capabilities of semantic annotations and semantic queries. To facilitate the semantic annotation, the design environment is equipped with ontologies, which represent relevant concepts, attributes, relations and rules in the machine tool design domain. In addition, a rich web application as an extension to SMW+ is developed, which leads the designer through the steps of a machine design project. The environment supports the retrieval and re-use of information from previous design projects, the use of lifecycle performance data of machines, the knowledge exchange among designers and the data exchange to commercial-off-the-shelf assessment and simulation tools.||0||0|
|Combining AceWiki with a CAPTCHA system for collaborative knowledge acquisition||Nalepa G.J.
|Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI||English||2012||Formalized knowledge representation methods allow to build useful and semantically enriched knowledge bases which can be shared and reasoned upon. Unfortunately, knowledge acquisition for such formalized systems is often a time-consuming and tedious task. The process requires a domain expert to provide terminological knowledge, a knowledge engineer capable of modeling knowledge in a given formalism, and also a great amount of instance data to populate the knowledge base. We propose a CAPTCHA-like system called AceCAPTCHA in which users are asked questions in a controlled natural language. The questions are generated automatically based on a terminology stored in a knowledge base of the system, and the answers provided by users serve as instance data to populate it. The implementation uses AceWiki semantic wiki and a reasoning engine written in Prolog.||0||0|
|Computational reputation model based on selecting consensus choices: An empirical study on semantic wiki platform||Jason J. Jung||Expert Syst. Appl.||English||2012||0||0|
|DartWiki: A semantic wiki for ontology-based knowledge integration in the biomedical domain||Yu T.
|Current Bioinformatics||English||2012||Semantic Web languages and technologies can be used for the annotation, classification, and organization of knowledge assets and digital artifacts based on biomedical ontologies. In this paper, we present a semantic wiki, named DartWiki, to build ontology-based digital encyclopedia for the biomedicine domain. DartWiki provides a Web-based interface for accessing knowledge artifacts in both per-artifact and per-concept mode. In the per-artifact mode, users can access these artifacts, and annotate them in both short texts and logical statements in terms of domain ontologies. In the concept-based mode, users can navigate a graph of concepts, and review and edit the synthesized page about a selected concept, which contains meaningful information about the concept, and also its related concepts and artifacts. Smooth transitions between the two modes are achieved through semantic links. As a use case of the DartWiki, we provide an open platform for the management and maintenance of digital artifacts in Integrated Medicine. This system provides medical practitioners with relevant and trustworthy knowledge artifacts, and also means to input artifacts, to clarify their meaning, and to check and improve their quality, which encourages the inclusion and participation of users, and effectively creates an online community around knowledge sharing.||0||0|
|Distributed and collaborative requirements elicitation based on social intelligence||Wen B.
|Proceedings - 9th Web Information Systems and Applications Conference, WISA 2012||English||2012||Requirements is the formal expression of user's needs. Also, requirements elicitation is the process of activity focusing on requirements collection. Traditional acquisition methods, such as interview, observation and prototype, are unsuited for the service-oriented software development featuring in the distributed stakeholders, collective intelligence and behavioral emergence. In this paper, a collaborative requirements elicitation approach based on social intelligence for networked software is put forward, and requirements-semantics concept is defined as the formal requirements description generated by collective participation. Furthermore, semantic wikis technology is chosen as requirements authoring platform to adapt the distributed and collaborative features. Faced to the wide-area distributed Internet, it combines with the Web 2.0 and the semantic web to revise the experts requirements-semantics model through the social classification. At the same time, instantiation of requirements model is finished with semantic tagging and validation. Apart from the traditional documentary specification, requirements-semantics artifacts will be exported from the elicitation process to the subsequent software production process, i.e. services aggregation and services resource customization. Experiment and prototype have proved the feasibility and effectiveness of the proposed approach.||0||0|
|From web 1.0 to social semantic web: Lessons learnt from a migration to a medical semantic wiki||Meilender T.
|Lecture Notes in Computer Science||English||2012||Oncolor is an association whose mission is to publish and share medical guidelines in oncology. As many scientific information websites built in the early times of the Internet, its website deals with unstructured data that cannot be automatically querried and is getting more and more difficult to maintain over time. The online contents access and the editing process can be improved by using web 2.0 and semantic web technologies, which allow to build collaboratively structured information bases in semantic portals. The work described in this paper aims at reporting a migration from a static HTML website to a semantic wiki in the medical domain. This approach has raised various issues that had to be addressed, such as the introduction of structured data in the unstructured imported guidelines or the linkage of content to external medical resources. An evaluation of the result by final users is also provided, and proposed solutions are discussed.||0||0|
|General architecture of a controlled natural language based multilingual semantic wiki||Kaljurand K.||Lecture Notes in Computer Science||English||2012||In this paper we propose the components, the general architecture and application areas for a controlled natural language based multilingual semantic wiki. Such a wiki is a collaborative knowledge engineering environment that makes its content available via multiple languages, both natural and formal, all of them synchronized via their abstract form that is assigned by a shared grammar. We also describe a preliminary implementation of such a system based on the existing technologies of Grammatical Framework, Attempto Controlled English, and AceWiki.||0||0|
|Harnessing Semantic Web Technologies for the Environmental Sustainability of Production Systems||Chris Davis
|Harnessing Green It: Principles and Practices||English||2012||The modern world is dependent on complex evolving networks of production chains that convert raw resources into the products and services required for the functioning of society. Dealing with issues of the environmental sustainability of these systems can be difficult due to their large scale and dynamic nature. Understanding these systems requires large amounts of diverse data and proper information management techniques to help make sense of them. We propose a way forward based on Semantic Web standards, and illustrate the use of Semantic Wiki software to help facilitate a collaborative community process of gathering and managing this data, and enablingtransparent peer review of it. This type of system could greatly enablethe use of tools such as Life Cycle Analysis, which have very large data demands and have struggled to build larger databases, yet still maintain quality of the data.||0||0|
|How a semantic Wiki can support the ideas development in innovation activities||Monticolo D.
|2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings||English||2012||We will present in this paper how to ensure the creation and the validation of idea by using a Semantic Wiki approach. We describe the system called Wiki-I which is used by engineers to allow them to formalize their ideas during the research solutions activities. Wiki-I is based on an ontology about the innovation domain which allows to structure the wiki pages and to store the knowledge posted by the engineers. In this paper, we will explain how Wiki-I ensures the reliability of the innovative ideas base create from the Wiki thanks to a idea evaluation process. After explaining the interest of the use of semantic wikis in innovation management approach we describe the architecture of Wiki-I with its semantic functionalities. At the end of the paper, we prove the effectiveness of Wiki-I with a ideas evaluation example in the case of a students challenge for innovation.||0||0|
|Implementing an automated ventilation guideline using the semantic wiki KnowWE||Hatko R.
|Lecture Notes in Computer Science||English||2012||In this paper, we report on the experiences made during the implementation of a therapeutic process, i.e. a guideline, for automated mechanical ventilation of patients in intensive care units. The semantic wiki KnowWE was used as a collaborative development platform for domain specialists, knowledge and software engineers, and reviewers. We applied the graphical guideline language DiaFlux to represent medical expertise about mechanical ventilation in a flowchart-oriented manner. Finally, the computerized guideline was embedded seamlessly into a mechanical ventilator for autonomous execution.||0||0|
|Incident and problem management using a Semantic Wiki-enabled ITSM platform||Frank Kleiner
|ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence||English||2012||IT Service Management (ITSM) is concerned with providing IT services to customers. In order to improve the provision of services, ITSM frameworks (e.g., ITIL) mandate the storage of all IT-relevant information in a central Configuration Management System (CMS). This paper describes our Semantic Incident and Problem Analyzer, which builds on a Semantic Wiki-based Configuration Management System. The Semantic Incident and Problem Analyzer assists IT-support personnel in tracking down the causes of incidents and problems in complex IT landscapes. It covers two use cases: (1) by analyzing the similarities between two or more system configurations with problems, it suggests possible locations of the problem; (2) by analyzing changes over time of a component with a problem, possible configuration changes are reported which might have led to the problem.||0||0|
|Knowledge continuous integration process (K-CIP)||Hala Skaf-Molli
|WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion||English||2012||Social semantic web creates read/write spaces where users and smart agents collaborate to produce knowledge readable by humans and machines. An important issue concerns the ontology evolution and evaluation in man-machine collaboration. How to perform a change on ontologies in a social semantic space that currently uses these ontologies through requests ? In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system. Copyright is held by the International World Wide Web Conference Committee (IW3C2).||0||0|
|Man-machine collaboration to acquire cooking adaptation knowledge for the TAAABLE case-based reasoning system||Cordier A.
|WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion||English||2012||This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or specific tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now benefit from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration. Copyright is held by the International World Wide Web Conference Committee (IW3C2).||0||0|
|Ontology-based software architecture documentation||De Graaf K.A.
Hans van Vliet
|Proceedings of the 2012 Joint Working Conference on Software Architecture and 6th European Conference on Software Architecture, WICSA/ECSA 2012||English||2012||A common approach to software architecture documentation in industry projects is the use of file-based documents. This approach offers a single-dimensional perspective on the architectural knowledge contained. Knowledge retrieval from file-based architecture documentation is efficient if the perspective chosen fits the needs of the readers, it is less so if the perspective does not match the needs of the readers. In this paper we describe an approach aimed at addressing architecture documentation retrieval issues. We have employed a software ontology in a semantic wiki optimized for architecture documentation. We have evaluated this ontology-based approach in a controlled industry experiment involving software professionals. The efficiency and effectiveness of the proposed approach is found to be better than that of the file-based approach.||0||0|
|ReqWiki: A semantic system for collaborative software requirements engineering||Bahar Sateli
|WikiSym 2012||English||2012||The requirements engineering phase within a software project is a heavily knowledge-driven, collaborative process that typically involves the analysis and creation of a large number of textual artifacts. We know that requirements engineering has a large impact on the success of a project, yet sophisticated tool support, especially for small to mid-size enterprises, is still lacking. We present ReqWiki, a novel open source web-based approach based on a semantic wiki that includes Natural Language Processing (NLP) assistants, which work collaboratively with humans on the requirements specification documents.||0||0|
|Research on the construction of open education resources based on semantic wiki||Mu S.
|Lecture Notes in Computer Science||English||2012||Since the MIT's OpenCourseWare project in 2001, open education resources movement has gone through more than ten years. Except for the fruitful results, some problems of resource construction are also exposed. Part of open education resources projects cannot be carried out or even were forced to drop out for a shortage of personnel or funds. A lack of uniform norms or standards leads to the duplication of resource construction and low resource utilization. Semantic media Wiki combines the openness, self-organization and collaboration of Wiki with the structured knowledge in the Semantic Web, which meets the needs of resource co-construction and sharing in open education resources movement. In this study, based on the online course Education Information Processing, we explore the Semantic MediaWiki's application in the open education resources construction.||0||0|
|Semantic CMS and wikis as platforms for linked learning||Bratsas C.
|CEUR Workshop Proceedings||English||2012||Although interoperability has always been a priority in e-learning, conventional Learning Management Systems are mostly geared towards the Standards for Learning Objects exchange and the integration among systems. The contingency for integration with other web applications and data is hardly foreseen. This prevents them, nowadays, from being flexible to adapt to the Linked Data standards emergence and the advent of Semantic Web in general, unless they radically change orientation. In contrast, Wikis, followed by Content Management Systems, proved to be more versatile in complying with the Semantic Web and Linked Data standards. These advancements, together with their modular architecture, turn Wikis and CMSs into a decent choice for modern e-learning solutions. MediaWiki and Drupal were customized and deployed in the Aristotle University of Thessaloniki to assess their potential in exposing the University's learning resources on the Web of Linked Data, in accordance with the Linked Universities Initiative. On the occasion of these two deployments, a thorough comparison of their platforms' potentials to function as Learning Management Systems took place and is presented on this paper.||0||0|
|Semantic Web for current healthcare and bioinformatics||Hejie Chen
|Current Bioinformatics||English||2012||The decade since the publication of the Semantic Web article in Scientific American in 2001 has witnessed a multitude of novel healthcare and bioinformatics applications that builds upon the open integration capability of the Semantic Web. This theme issue illustrates how the semantically enriched information has both enhanced our knowledge and expanded the impact on biomedical research in terms of scientific knowledge modeling and integration, linked data publication and interlinking, and decision support systems. Five papers have been selected and included, serving as typical examples of Semantic Web adoption in both healthcare and bioinformatics.||0||0|
|Semantic Wiki: A collaborative tool for instructional content design||Coccoli M.
|Journal of E-Learning and Knowledge Society||English||2012||The rapid evolving of web technologies has brought to the increasingly diffusion of applications making the Web an interactive social network environment. The World Wide Web Consortium and several research centers are working on the integration of such technologies into the project of a Semantic Web. Consequently, e-learning systems and tools supporting instructional content design could take advantage of these advancements. In this scenario, according to a social-constructivist approach, the authors discuss the adoption of Semantic Wiki as a collaborative environment to design educational contents. The paper will outline the application perspectives and the strategies to adopt, in order to facilitate meaningful learning processes, and the potential advantages that Semantic Wikis would bring from the point of view of knowledge management, as well as for the re-use of learning resources.||0||0|
|Semantic technologies for civil information management during complex emergencies||Caglayan A.
|2012 IEEE International Conference on Technologies for Homeland Security, HST 2012||English||2012||Data sharing in support of situational awareness during complex emergencies remains a challenge to effective response and recovery, despite the fact that significant technological advances have enabled robust mobile data collection capabilities that can operate in both connected and disconnected environments. Current solutions rely on disparate knowledge silos that make situational awareness difficult for operations requiring collaboration to facilitate information sharing and to enable performance tracking for optimal resource allocation. In our paper we discuss the benefits of applying mobile enabled semantic technologies for supporting civil information management (CIM) during complex emergencies and analytically investigate the technical challenges encountered in such efforts. Specifically, we will present research related to developing a Civil Information Management Semantic Wiki (CIM Wiki), built on the Semantic MediaWiki platform. This CIM Wiki is a knowledge portal that enables users to collect, organize, tag, search, browse, visualize, and share structured CIM knowledge.||0||0|
|Supporting social driven requirements engineering processes through knowledge sharing platforms||Sillaber C.
|Proceedings of the IASTED International Conference on Software Engineering, SE 2012||English||2012||A number of recent projects have made significant progress towards the goal of utilizing Web 2.0 paradigms to improve requirements engineering processes. These approaches either build on semantic platforms such as a semantic wiki or focus on a subset of Web 2.0 paradigms, such as social games or multimedia annotations. Therefore, if organizations want to use these methodologies at their fullest, they have to introduce these platforms in parallel to often already existing Web 2.0 platforms such as company wide social networks or knowledge sharing platforms. Operating two or more platforms for requirements engineering introduces problems such as decreased trace-ability, an increased potential for duplicate requirements as well as additional costs and time needed to train participating stakeholders. To mitigate these problems, we present how knowledge sharing platforms, already employed by organizations, can be used to support social driven requirements engineering processes. Our proposed solution implements several community-oriented features that utilise collaboration and knowledge sharing paradigms. The presented process fosters the engagement of larger, globally distributed, groups of stakeholders in the collection, discussion, development and structuring of software requirements.||0||0|
|The ontologist: Controlled vocabularies and semantic wikis||Cagle K.||Balisage Series on Markup Technologies||English||2012||By combining such post processing with the creation of relevant assertions (though some editor interface) makes it possible for this system to effectively function as a semantic wiki or knowledge management system, with each term effectively being the same as one entry in the space. It is this piece which I plan on demonstrating at Balisage. The Ontologist was written on MarkLogic Server 5.0, but it could reasonably work on any document-centric database, including XML databases such as eXist, JSON databases such as CouchDB, and Semantic Triple Stores that combine SPARQL and XQuery. The more important aspect of this is that it has the potential to be used in a wide variety of circumstances, from managing controlled vocabularies to hosting encyclopedic websites to acting as a Linked Data repository with queryable interfaces.||0||0|
|Towards an ontological approach to enrich a community of interest in orthopaedic specialty||Riu M.E.
|Proceedings of the 2012 4th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2012||English||2012||A community of interest is helpful to professionals to assemble around a common interest and exchange information and experiences. However, the most used communities are too general for some specific areas and they are unable to store and classify relevant information for the community users. In this paper, we propose an approach that can be integrated with existent communities of practice. Moreover, it allows to specify and share the information relevant to the community of practice of orthopaedic based on a wiki. Instead of using a generic wiki where the knowledge is stored in textual format, a semantic wiki is used. This semantic tool, combined with an ontology description of the domain, stores the information in a computer readable format that could provide in the future additional advanced services to the community professionals.||0||0|
|Using a semantic wiki to improve the consistency and analyzability of functional requirements||Jun Ma
|Communications in Computer and Information Science||English||2012||Even though the software industry seems to have matured from the initial stage, the software projects' success rates are still low. This is mainly because of lack of correct, unambiguous, complete, consistent description on software requirements. How to specify and represent requirements correctly, unambiguously, completely and reach a common understanding among stakeholders in software projects, have become high priority issues. The aim of this paper is to study the ways of specifying and representing the semantic information of functional requirements in software projects. We propose a meta-model and implement it into semantic forms in Semantic MediaWiki. Our approach enables the building of functional requirements on a common semantic basis, thereby improving the analyzability and consistency of the requirements. The wiki environment also enables asynchronous collaboration to create and maintain the functional requirements.||0||0|
|Vulnerapedia: Security knowledge management with an ontology||Blanco F.J.
|ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence||English||2012||Ontological engineering can do an efficient management of the security data, generating security knowledge. We use a step methodology defining a main ontology in the web application security domain. Next, extraction and integration processes translate unstructured data in quality security knowledge. Thus, we check the ontology can perform management processes involved. A social tool is implemented to wrap the knowledge in an accessible way. It opens the security knowledge to encourage people to collaboratively use and extend it.||0||0|
|Wiki-I: A semantic wiki to support the ideas development and knowledge sharing in innovation activities||Monticolo D.
|Lecture Notes in Engineering and Computer Science||English||2012||We will present in this paper how to ensure the creation and the validation of idea by using a Semantic Wiki approach. We describe the system called Wiki-I which is used by engineers to allow them to formalize their ideas during the research solutions activities. Wiki-I is based on an ontology about the innovation domain which allows to structure the wiki pages and to store the knowledge posted by the engineers. In this paper, we will explain how Wiki-I ensures the reliability of the innovative ideas base create from the Wiki thanks to a idea evaluation process. After explaining the interest of the use of semantic wikis in innovation management approach we describe the architecture of Wiki-I with its semantic functionalities. At the end of the paper, we prove the effectiveness of Wiki-I with a ideas evaluation example in the case of a students challenge for innovation.||0||0|
|A semantic wiki for user training in ePrescribing processes||D. Papakonstantinou
|A-R-E: The author-review-execute environment||Muller W.
|Procedia Computer Science||English||2011||The Author-Review-Execute (A-R-E) is an innovative concept to offer under a single principle and platform an environment to support the life cycle of an (executable) paper; namely the authoring of the paper, its submission, the reviewing process, the author's revisions, its publication, and finally the study (reading/interaction) of the paper as well as extensions (follow ups) of the paper. It combines Semantic Wiki technology, a resolver that solves links both between parts of documents to executable code or to data, an anonymizing component to support the authoring and reviewing tasks, and web services providing link perennity.||0||0|
|Adding semantic extension to wikis for enhancing cultural heritage applications||Leclercq E.
|Communications in Computer and Information Science||English||2011||Wikis are appropriate systems for community-authored content. In the past few years, they show that are particularly suitable for collaborative works in cultural heritage. In this paper, we highlight how wikis can be relevant solutions for building cooperative applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out different type of users. We describe the CARE project and explain the conceptual modeling approach. We detail the architecture of WikiBridge, a semantic wiki which allows simple, n-ary and recursive annotations as well as consistency checking. A specific section is dedicated to the ontology design which is the compulsory foundational knowledge for the application.||0||0|
|An application for the collaborative development of semantic content||Rodriguez-Artacho M.
|Proceedings - Frontiers in Education Conference, FIE||English||2011||This paper shows an approach to build communities of students working collaboratively to create educational content. We present an evaluation of the usability of a customized semantic environment and show how it interacts with a semantic wiki-based approach. Additionally, a proposal for a manageable hybrid methodology for the creation of ontologies is given. The result is a tool: OntoWikiUTPL and SemanticWikiUTPL, which allows the academic community to create semantic content. Thus, it is an interesting step toward innovation in interactive educational projects and collaborative activities in the Universidad Técnica Particular de Loja (UTPL).||0||0|
|Annotating software documentation in semantic wikis||Klaas Andries de Graaf||ESAIR||English||2011||0||0|
|Applying and extending semantic wikis for semantic web courses||Rutledge L.
|CEUR Workshop Proceedings||English||2011||This work describes the application of semantic wikis in distant learning for Semantic Web courses. The resulting system focuses its application of existing and new wiki technology in making a wiki-based interface that demonstrates Semantic Web features. A new layer of wiki technology, called "OWL Wiki Forms" is introduced for this Semantic Web functionality in the wiki interface. This new functionality includes a form-based interface for editing Semantic Web ontologies. The wiki then includes appropriate data from these ontologies to extend existing wiki RDF export. It also includes ontology-driven creation of data entry and browsing interfaces for the wiki itself. As a wiki, the system provides the student an educational tool that students can use anywhere while still sharing access with the instructor and, optionally, other students.||0||0|
|Building roadmaps: A knowledge sharing perspective||Tang A.
De Boer T.
Hans van Vliet
|Proceedings - International Conference on Software Engineering||English||2011||Roadmapping is a process that involves many stakeholders and architects. In an industry case, we have found that a major challenge is to exchange timely knowledge between these people. We report a number of knowledge sharing scenarios in the roadmapping process. In order to address these issues, we propose a codification mechanism that makes use of a semantic wiki to facilitate knowledge sharing.||0||0|
|Collaborative management of business metadata||Huner K.M.
|International Journal of Information Management||English||2011||Legal provisions, cross-company data exchange and intra-company reporting or planning procedures require comprehensively, timely, unambiguously and understandably specified business objects (e.g. materials, customers, and suppliers). On the one hand, this business metadata has to cover miscellaneous regional peculiarities in order to enable business activities anywhere in the world. On the other hand, data structures need to be standardized throughout the entire company in order to be able to perform global spend analysis, for example. In addition, business objects should adapt to new market conditions or regulatory requirements as quickly and consistently as possible. Centrally organized corporate metadata managers (e.g. within a central IT department) are hardly able to meet all these demands. They should be supported by key users from several business divisions and regions, who contribute expert knowledge. However, despite the advantages regarding high metadata quality on a corporate level, a collaborative metadata management approach of this kind has to ensure low effort for knowledge contributors as in most cases these regional or divisional experts do not benefit from metadata quality themselves. Therefore, the paper at hand identifies requirements to be met by a business metadata repository, which is a tool that can effectively support collaborative management of business metadata. In addition, the paper presents the results of an evaluation of these requirements with business experts from various companies and of scenario tests with a wiki-based prototype at the company Bayer CropScience AG. The evaluation shows two things: First, collaboration is a success factor when it comes to establishing effective business metadata management and integrating metadata with enterprise systems, and second, semantic wikis are well suited to realizing business metadata repositories.||0||0|
|Designing collaborative e-learning environments based upon semantic Wiki: From design models to application scenarios||Yanyan Li
|Educational Technology and Society||English||2011||The knowledge society requires life-long learning and flexible learning environment that enables fast, just-intime and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops flexible e-learning environments for different application scenarios aiming to facilitate collaborative knowledge construction and maximize resource sharing and utilization. One application scenario is to support hybrid learning by deploying an online course platform and the first round of using has shown that the course platform can effectively facilitate and support students to fulfill task-driven learning in a more flexibly and friendly collaborative manner. The other application scenario is to build a teamwork platform for supporting collaborative e-research. After several months' trial, team members agree that the platform can well meet their collaborative research work demands with the advantage of quick, easy and convenient operating assistance. The kernel idea of the collaborative e-learning environments is to enable structural organization of resources with semantic association while providing diverse customized facilities.||0||0|
|Educational semantic wikis in the linked data age: The case of msc web science program at aristotle university of thessaloniki||Bratsas C.
|CEUR Workshop Proceedings||English||2011||Wikis are nowadays a mature technology and further well established as successful eLearning approaches that promote collaboration, fulfill the requirements of new trends in education and follow the theory of constructivism. Semantic Wikis on the other hand, are not yet thoroughly explored, but differentiate by offering an increased overall added value to the educational procedure and the course management. Their recent integration with the Linked Data cloud exhibits a potential to exceed their usual contribution and to render them into powerful eLearning tools as they expand their potentialities to the newly created educational LOD. Web Science Semantic Wiki constitutes a prime attempt to evaluate this potential and the benefits that Semantic Web and linked data bring in the field of education.||0||0|
|Engineering intelligent systems on the knowledge formalization continuum||Joachim Baumeister
|International Journal of Applied Mathematics and Computer Science||English||2011||In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization-ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.||0||0|
|Experiences with Semantic Wikis for Architectural Knowledge Management||Remco C. de Boer
Hans van Vliet
|WICSA||English||2011||In this paper, we reflect on our experiences with using semantic wikis for architectural knowledge management in two different contexts: e-government and distributed software development. Whereas our applications of semantic wikis in e-government focus on organizing and structuring architectural knowledge for reuse, the applications in distributed software development focus on searching and querying architectural knowledge. Yet, the emerging research challenges - alignment of knowledge models, knowledge versioning, change acknowledgements - are very similar.||0||0|
|How to reason by HeaRT in a semantic knowledge-based Wiki||Adrian W.T.
|Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI||English||2011||Semantic wikis constitute an increasingly popular class of systems for collaborative knowledge engineering. We developed Loki, a semantic wiki that uses a logic-based knowledge representation. It is compatible with semantic annotations mechanism as well as Semantic Web languages. We integrated the system with a rule engine called HeaRT that supports inference with production rules. Several modes for modularized rule bases, suitable for the distributed rule bases present in a wiki, are considered. Embedding the rule engine enables strong reasoning and allows to run production rules over semantic knowledge bases. In the paper, we demonstrate the system concepts and functionality using an illustrative example.||0||0|
|Hybrid Wikis: Empowering users tocollaboratively structure information||Florian Matthes
|ICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies||English||2011||Wikis are increasingly used for collaborative enterprise information management since they are flexibly applicable and encourage the contribution of knowledge. The fact that ordinary wiki pages contain pure text only limits how the information can be processed or made accessible to users. Semantic wikis promise to solve this problem by capturing knowledge in structured form and offering advanced querying capabilites. However, it is not obvious for business users, how they can benefit from providing semantic annotations which are not familiar to them and often difficult to enter. In this paper, we first introduce the concepts of hybrid wikis, namely attributes, type tags, attribute suggestions, and attribute definitions with integrity constraints. Business users interact with these concepts using a familiar user interface based on forms, spreadsheet-like tables, and auto-completion for links and values. We then illustrate these concepts using an example scenario with projects and persons and highlight key implementation aspects of a Java-based hybrid wiki system (Tricia). The paper ends with the description of practical experiences gained in two usage scenarios, a comparison with related work and an outlook on future work.||0||0|
|Managing Web content using Linked Data principles - Combining semantic structure with dynamic content syndication||Heino N.
|Proceedings - International Computer Software and Applications Conference||English||2011||Despite the success of the emerging Linked Data Web, offering content in a machine-processable way and - at the same time - as a traditional Web site is still not a trivial task. In this paper, we present the OntoWiki-CMS - an extension to the collaborative knowledge engineering toolkit OntoWiki for managing semantically enriched Web content. OntoWiki-CMS is based on OntoWiki for the collaborative authoring of semantically enriched Web content, vocabularies and taxonomies for the semantic structuring of the Web content and the OntoWiki Site Extension, a template and dynamic syndication system for representing the semantically enriched content as a Web site and the dynamic integration of supplementary content. OntoWiki-CMS facilitates and integrates existing content-specific content management strategies (such as blogs, bibliographic repositories or social networks). OntoWiki-CMS helps to balance between the creation of rich, stable semantic structures and the participatory involvement of a potentially large editor and contributor community. As a result semantic structuring of the Web content facilitates better search, browsing and exploration as we demonstrate with a use case.||0||0|
|Managing multimodal and multilingual semantic content||Marcel Martin
|WEBIST 2011 - Proceedings of the 7th International Conference on Web Information Systems and Technologies||English||2011||With the advent and increasing popularity of Semantic Wikis and the Linked Data the management of se-mantically represented knowledge became mainstream. However, certain categories of semantically enriched content, such as multimodal documents as well as multilingual textual resources are still difficult to handle. In this paper, we present a comprehensive strategy for managing the life-cycle of both multimodal and multilingual semantically enriched content. The strategy is based on extending a number of semantic knowledge management techniques such as authoring, versioning, evolution, access and exploration for semantically enriched multimodal and multilingual content. We showcase an implementation and user interface based on the semantic wiki paradigm and present a use case from the e-tourism domain.||0||0|
|Mining for reengineering: An application to semantic wikis using formal and relational concept analysis||Shi L.
|Lecture Notes in Computer Science||English||2011||Semantic wikis enable collaboration between human agents for creating knowledge systems. In this way, data embedded in semantic wikis can be mined and the resulting knowledge patterns can be reused to extend and improve the structure of wikis. This paper proposes a method for guiding the reengineering and improving the structure of a semantic wiki. This method suggests the creation of categories and relations between categories using Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA). FCA allows the design of a concept lattice while RCA provides relational attributes completing the content of formal concepts. The originality of the approach is to consider the wiki content from FCA and RCA points of view and to extract knowledge units from this content allowing a factorization and a reengineering of the wiki structure. This method is general and does not depend on any domain and can be generalized to every kind of semantic wiki. Examples are studied throughout the paper and experiments show the substantial results.||0||0|
|Semantic social scaffolding for capturing and sharing dissertation experience||Dimitrova V.
|IEEE Transactions on Learning Technologies||English||2011||This paper presents a novel collaborative tool-AWESOME Dissertation Environment (ADE)which facilitates student learning through semantic social scaffolding: a new approach to dissertation writing challenges. These challenges revolve around three issues: timing of support; collective intelligence, and sense making strategies in tension with the individual and individualized experience of researching, writing and supervising dissertations; and supporting students' transition from learning about to learning how to research and write dissertations. A social technical approach was adopted to meet the challenge of effectively integrating technology development and pedagogic practice to address these issues. A semantic wiki was tailored into a social writing environment capable of providing holistic support throughout the whole dissertation process. A trial of ADE with students and tutors in Fashion Design examines user acceptance and the connection between technology and practice. Based on the design, implementation, and user trialing of the ADE, broad implications for future TEL adopting social semantic web principles and tools are drawn, highlighting issues with 1) user-centric design and development, 2) tailoring, seeding and evolution of the community environment, and 3) divergent expectations and facilitation of user participation.||0||0|
|Shortipedia aggregating and curating Semantic Web data||Vrandecic D.
|Journal of Web Semantics||English||2011||Shortipedia is a Web-based knowledge repository, that pulls together a growing number of sources in order to provide a comprehensive, diversified view on entities of interest. Contributors to Shortipedia can easily add claims to the knowledge base, provide sources for their claims, and find links to knowledge already available on the Semantic Web. © 2011 Elsevier B.V. All rights reserved.||0||0|
|Software architecture documentation: The road ahead||Tang A.
Hans van Vliet
|Proceedings - 9th Working IEEE/IFIP Conference on Software Architecture, WICSA 2011||English||2011||The basic format in which software requirements and architecture designs are documented is essentially file-based, and it has persisted for decades. Current indexing methods used in file-based documentation are not conducive to retrieving software knowledge. We propose to index software documents with a suitable lightweight ontology to improve the retrieval and traceability of software knowledge. Initial results from a prototype implementation have shown promising prospects.||0||0|
|The Information Workbench as a self-service platform for Linked Data applications||Peter Haase
|CEUR Workshop Proceedings||English||2011||Pursuing the goal to lower the entry barrier into the world of Linked Data, we present the Information Workbench as a platform to support self-service Linked Data application development. Targeting the full life-cycle of Linked Data applications, it offers support in discovery and exploration of Linked Data sources, facilitates the integration and processing of Linked Data following a Data-as-a-Service paradigm (where remote data sources can be virtually integrated through a federation layer), and eases self-service UI development based on Semantic Wiki technologies, combined with a large set of widgets for interacting with the data. Coming with all these features, the Information Workbench can be used to rapidly build industrial-strength Linked Data applications.||0||0|
|Towards industrial implementation of emerging semantic technologies||Breindel J.T.
|Proceedings of the ASME Design Engineering Technical Conference||English||2011||Every new design, project, or procedure within a company generates a considerable amount of new information and important knowledge. Furthermore, a tremendous amount of legacy knowledge already exists in companies in electronic and non-electronic formats, and techniques are needed for representing, structuring and reusing this knowledge. Many researchers have spent considerable time and effort developing semantic knowledge management systems, which in theory are presumed to address these problems. Despite significant research investments, little has been done to implement these systems within an industrial setting. In this paper we identify five main requirements to the development of an industry-ready application of semantic knowledge management systems and discuss how each of these can be addressed. These requirements include the ease of new knowledge management software adoption, the incorporation of legacy information, the ease of use of the user interface, the security of the stored information, and the robustness of the software to support multiple file types and allow for the sharing of information across platforms. Collaboration with Raytheon, a defense and aerospace systems company, allowed our team to develop and demonstrate a successful adoption of semantic abilities by a commercial company. Salient features of this work include a new tool, the e-Design MemoExtractor Software Tool, designed to mine and capture company information, a Raytheon-specific extension to the e-Design Framework, and a novel semantic environment in the form of a customized semantic wiki SMW+. The advantages of this approach are discussed in the context of the industrial case study with Raytheon.||0||0|
|User training in primary care processes through a semantic wiki||Papakonstantinou D.
|Proceedings of the IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011||English||2011||Primary care brings promotion and prevention, cure and care together in a safe, effective and socially productive way at the interface between the population and the health system. The features of healthcare that are essential in ensuring improved health and social outcomes are person-centeredness, comprehensiveness and integration and continuity of care, with a regular entry into the health system, so that it becomes possible to build an enduring relationship of trust between patients and their healthcare providers. The adoption of a successful primary care system premises active participation of users who are familiar with the cooperative and collaborative nature of healthcare delivery. Thus, there is a need for reusable, flexible, agile and adaptable training content with the objective to enable healthcare professionals instill their knowledge and expertise in primary care processes. To this end, social software, such as a wiki, could be used as it supports cooperation and collaboration anytime, anywhere, combined with semantic web technology that enables structuring pieces of information for easy retrieval, reuse and exchange between different systems and tools. In this paper, a semantic wiki is presented as a means for developing training material for healthcare providers regarding healthcare processes in primary care. The semantic wiki should act as a collective online memory containing training material that is accessible to authorized users, thus enhancing the training process with collaboration and cooperation capabilities. It is also proposed that the semantic wiki is stored in a secure virtual private cloud that is accessible from anywhere, be it an excessively open environment, while meeting the requirements of redundancy, high performance and autoscaling.||0||0|
|Using similarity-based approaches for continuous ontology development||Ramezani M.||International Journal on Semantic Web and Information Systems||English||2011||This paper presents novel algorithms for learning semantic relations from an existing ontology or concept hierarchy. The authors suggest recommendation of semantic relations for supporting continuous ontology development, i.e., the development of ontologies during their use in social semantic bookmarking, semantic wiki, or other Web 2.0 style semantic applications. This paper assists users in placing a newly added concept in a concept hierarchy. The proposed algorithms are evaluated using datasets from Wikipedia category hierarchy and provide recommendations. Copyright||0||0|
|Wiki-based conceptual modeling: An experience with the public administration||Casagni C.
Di Francescomarino C.
|Lecture Notes in Computer Science||English||2011||The dematerialization of documents produced within the Public Administration (PA) represents a key contribution that Information and Communication Technology can provide towards the modernization of services within the PA. The availability of proper and precise models of the administrative procedures, and of the specific "entities" related to these procedures, such as the documents involved in the procedures or the organizational roles performing the activities, is an important step towards both (1) the replacement of paper-based procedures with electronic-based ones, and (2) the definition of guidelines and functions needed to safely store, catalogue, manage and retrieve in an appropriate archival system the electronic documents produced within the PA. In this paper we report the experience of customizing a semantic wiki based tool (MoKi ) for the modeling of administrative procedures (processes) and their related "entities" (ontologies). The tool has been used and evaluated by several domain experts from different Italian regions in the context of a national project. This experience, and the reported evaluation, highlight the potential and criticality of using semantic wiki-based tools for the modeling of complex domains composed of processes and ontologies in a real setting.||0||0|
|A framework for automatic semantic annotation of Wikipedia articles||Pipitone A.
|SWAP 2010 - 6th Workshop on Semantic Web Applications and Perspectives||English||2010||Semantic wikis represent a novelty in the field of semantic technologies. Nowadays, there are many important "non-semantic" wiki sources, as the Wikipedia encyclopedia. A big challenge is to make existing wiki sources semantic wikis. In this way, a new generation of applications can be designed to brose, search, and reuse wiki contents, while reducing loss of data. The core of this problem is the extraction of semantic sense and the annotation from text. In this paper a hierarchical framework for automatic semantic annotation of plain text is presented that has been finalized to the use of Wikipedia pages as information source. The strategy is based on disambiguation of plain text using both domain ontology and linguistic pattern matching methods. The main steps are: TOC extraction from the original page, content annotation for each section linguistic rules, and semantic wiki generation. The complete framework is outlined and an application scenario is presented.||0||0|
|A human and social sciences wiktionary in a peer-to-peer network||Khelifa L.N.
|2010 International Conference on Machine and Web Intelligence, ICMWI 2010 - Proceedings||English||2010||This paper presents an integration of a multicultural and multilingual wiktionary in human and social sciences in a peer-to-peer network. This on-line dictionary was developed as part of the FSP project to allow researchers from both side of Mediterranean Sea to exchange and to share knowledge in the human and social sciences domain. The present extension would allow off-line collaborative edition, scalability, management of inter-wikis link, an advanced search for constructing the global sheet by interrogating specific peers and finally a wiki page replication strategy to ensure data availability. The system architecture and the prototype are presented.||0||0|
|A model for open semantic hyperwikis||Philip Boulain
|Lecture Notes in Computer Science||English||2010||Wiki systems have developed over the past years as lightweight, community-editable, web-based hypertext systems. With the emergence of semantic wikis such as Semantic MediaWiki , these collections of interlinked documents have also gained a dual role as ad-hoc RDF  graphs. However, their roots lie in the limited hypertext capabilities of the World Wide Web : embedded links, without support for features like composite objects or transclusion. Collaborative editing on wikis has been hampered by redundancy; much of the effort spent on Wikipedia is used keeping content synchronised and organised. We have developed a model for a system, which we have prototyped and are evaluating, which reintroduces ideas from the field of hypertext to help alleviate this burden. In this paper, we present a model for what we term an 'open semantic hyperwiki' system, drawing from both past hypermedia models, and the informal model of modern semantic wiki systems. An 'open semantic hyperwiki' is a reformulation of the popular semantic wiki technology in terms of the long-standing field of hypermedia, which then highlights and resolves the omissions of hypermedia technology made by the World Wide Web and the applications built around its ideas. In particular, our model supports first-class linking, where links are managed separately from nodes. This is then enhanced by the system's ability to embed links into other nodes and separate them out again, allowing for a user editing experience similiar to HTML-style embedded links, while still gaining the advantages of separate links. We add to this transclusion, which allows for content sharing by including the content of one node into another, and edit-time transclusion, which allows users to edit pages containing shared content without the need to follow a sequence of indirections to find the actual text they wish to modify. Our model supports more advanced linking mechanisms, such as generic links, which allow words in the wiki to be used as link endpoints. The development of this model has been driven by our prior experimental work on the limitations of existing wikis and user interaction.We have produced a prototype implementation which provides first-class links, transclusion, and generic links.||0||0|
|A semantic geographical knowledge wiki system mashed up with Google Maps||Gao Y.
|Science China Technological Sciences||English||2010||A wiki system is a typical Web 2.0 application that provides a bi-directional platform for users to collaborate and share much useful information online. Unfortunately, computers cannot well understand the wiki pages in plain text. The user-generated geographical content via wiki systems cannot be manipulated properly and efficiently unless the geographical semantics is explicitly represented. In this paper, a geographical semantic wiki system, Geo-Wiki, is introduced to solve this problem. Geo-Wiki is a semantic geographical knowledge-sharing web system based on geographical ontologies so that computers can parse and storage the multi-source geographical knowledge. Moreover, Geo-Wiki mashed up with map services enriches the representation and helps users to find spatial distribution patterns, and thus can serve geospatial decision-making by customizing the Google Maps APIs.||0||0|
|A semantic wiki alerting environment incorporating credibility and reliability evaluation||Ulicny B.
|CEUR Workshop Proceedings||English||2010||In this paper, we describe a system that semantically annotates streams of reports about transnational criminal gangs in order to automatically produce models of the gangs' membership and activities in the form of a semantic wiki. A gang ontology and semantic inferencing are used to annotate the reports and supplement entity and relationship annotations based on the local document context. Reports in the datastream are annotated for reliability and credibility in the proof-of-concept system.||0||0|
|A semantic wiki for the engineering of diagnostic guideline knowledge||Hatko R.
|CEUR Workshop Proceedings||English||2010||This paper presents a wiki environment for the modelling of Computer Interpretable Guidelines (CIGs) using the graphical language DiaFlux. We describe a wiki-driven development process using a stepwise formalization and allowing for almost self-acquisition by the domain specialists. The applicability of the approach is demonstrated by a project developing a guideline for sepsis diagnosis and treatment by a collaboration of clinicians.||0||0|
|A tool to support authoring of learning designs in the field of sustainable energy education||Karetsos S.
|Proceedings of the IADIS International Conference WWW/Internet 2010||English||2010||Sustainable energy education is anticipated to contribute to the solution of a sequence of challenges-problems related generally with the dominant developmental models and particularly with the energy production and consumption. Within this contribution we examine the integration of an ontology based framework for learning design in sustainable energy education area with a semantic wiki, as a web based tool supporting the collaborative construction, improvement and exchange/ dissemination of learning designs in the field of sustainable energy education. We conjecture that the semantic wiki technology platform constitutes an adequate environment, in terms of its usability and expressiveness, for the building and supporting of a community of practice in this area.||0||0|
|A wiki-oriented on-line dictionary for human and social sciences||Khelifa L.
|CEUR Workshop Proceedings||English||2010||The aim of this paper is to contribute to the construction of a human and social sciences (HSS) on-line dictionary. The latter is Wiki-oriented. It takes into account the multicultural aspect of the HSS as well as the ISO 1951 international standard. This standard has been defined to harmonize the presentation of specialized/general and multilingual/monolingual dictionaries into a generic structure independent of the publishing media. The proposed Wiktionary will allow HSS researchers to exchange and to share their knowledge regardless of their geographical locations of work and/or of residence. After the conceptual description of this dictionary and the presentation of the mapping rules to Wiki semantic concepts, the paper will present an overview of the prototype that has been developed.||0||0|
|Access and annotation of archaelogical corpus via a semantic wiki||Leclercq E.
|CEUR Workshop Proceedings||English||2010||Semantic wikis have shown their ability to allow knowledge management and collaborative authoring. They are particularly appropriate for scientific collaboration. This paper details the main concepts and the architecture of WikiBridge, a semantic wiki, and its application in the archaelogical domain. Archaeologists primarily have a documentcentric work. Adding meta-information in the form of annotations has proved to be useful to enhance search. WikiBridge combines models and ontologies to increase data consistency within the wiki. Moreover, it allows several types of annotations: simple annotations, n-ary relations and recursive annotations. The consistency of these annotations is checked synchronously by using structural constraints and or asynchronously by using domain constraints.||0||0|
|Applications of ontologies in collaborative software development||Happel H.-J.
|Collaborative Software Engineering||English||2010||Making distributed teams more efficient is one main goal of Collaborative Software Development (CSD) research. To this end, ontologies, which are models that capture a shared understanding of a specific domain, provide key benefits. Ontologies have formal, machine-interpretable semantics that allow to define semantic mappings for heterogeneous data and to infer implicit knowledge at run-time. Extending development infrastructures and software architectures with ontologies (of problem and solution domains) will address coordination and knowledge sharing challenges in activities such as documentation, requirements specificationrequirements specification, component reuse, error handling, and test case management. The purpose of this article is to provide systematic account of how ontologies can be applied in CSD, and to describe benefits of both existing applications such as "semantic wikis" as well as visionary scenarios such as a "Software Engineering Semantic Web".||0||0|
|Building an online course based on semantic Wiki for hybrid learning||Yanyan Li
|Lecture Notes in Computer Science||English||2010||By combining properties of Wikis with Semantic Web technologies, Semantic Wikis emerged with semantic enhancements. Based upon Semantic Wiki, this paper designs and develops an online course integrated with face-to-face instruction to support hybrid learning. Compared with general online courses, the course has three outstanding features. First, taken the learning object as the basic building blocks, the course organizes learning content in a structured, coherent and flexible way. Second, it motivates learners to be actively engaged in the collaborative learning process by allowing convenient course authoring, editing as well as adequate interaction. Third, it enables smart resource accessing with the provision of intelligent facilities, such as semantic search, relational navigation, course management, etc.||0||0|
|Collaborative knowledge discovery & marshalling for intelligence & security applications||Cowell A.J.
|ISI 2010 - 2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security||English||2010||This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.||0||0|
|Collective knowledge engineering with semantic wikis||Nalepa G.J.||Journal of Universal Computer Science||English||2010||In the paper application of semantic wikis as knowledge engineering tool in a collaborative environment is considered. Selected aspects of semantic wikis are discussed. The main apparent limitation of existing semantic wikis is the lack of expressive knowledge representation mechanism. Building a knowledge base with a semantic wiki becomes complicated because of its collective nature, where number of users collaborate in the knowledge engineering process. A need for knowledge evaluation and analysis facilities become clear. The paper discusses a new semantic wiki architecture called PlWiki. The most important concept is to provide a strong knowledge representation and reasoning with Horn clauses-based representation. The idea is to use Prolog clauses on the lower level to represent facts and relations, as well as define rules on top of them. On the other hand a higher-level Semantic Web layer using RDF support is provided. This allows for compatibility with Semantic Media Wiki while offering improved representation and reasoning capabilities. Another important idea is provide an extension to already available flexible wiki solution (DokuWiki) instead of modifying existing wiki engine. Using the presented architecture it is possible to analyze rule-based knowledge stored in the wiki. © J.UCS.||0||0|
|Combining process model and semantic wiki||Albers A.
|11th International Design Conference, DESIGN 2010||English||2010||Increasing product complexity, gobal markets and shorter product life cycles are only a few reasons why the development of new products is a challenging task. A lot of knowledge is needed for and generated in product development processes. In this paper an approach is presented which suggests a combination of the integrated product engineering model (iPeM) and semantic wikis for supporting knowledge management in product development. To receive a valid statement of the practicability and usability of the approach the implemented wiki-system was used during an industrial predevelopment project.||0||0|
|Connecting semantic MediaWiki to different triple stores using RDF2Go||Schied M.
|CEUR Workshop Proceedings||English||2010||This article describes a generic triple store connector for the popular Semantic MediaWiki software to be used with different triple stores like Jena or Sesame. Using RDF2Go as an abstraction layer it is possible to easily exchange triple stores. This ongoing work is part of the opendrugwiki project, a semantic wiki for distributed pharmaceutical research groups.||0||0|
|Developing a collaborative E-learning environment based upon semantic wiki: From design models to application scenarios||Yanyan Li
|Proceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010||English||2010||The knowledge society requires life-long learning and flexible learning environment that enables fast, just-intime and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops a flexible e-learning environment aiming to motivate active collaborative learning and maximize resource sharing and reusing. Compared with general e-learning environment, the proposed environment has three outstanding features. First, it supports learning resource modeling with semantic link network to deal with structural incoherence and content isolation. Second, it motivates learners to be actively involved in the collaborative learning process by allowing flexible resource authoring and semantic annotation in an easy-to-use manner. Third, it enables proactive resource and companion recommendation based on discovery of closely-related learning-peers and supports user role analysis for learning enhancement.||0||0|
|Development of a controlled natural language interface for semantic MediaWiki||Paul R. Smart
Nigel R. Shadbolt
|Enacting argumentative web in semantic wikipedia||Mircea I.S.
|Proceedings - 9th RoEduNet IEEE International Conference, RoEduNet 2010||English||2010||This research advocates the idea of combining argumentation theory with the social web technology, aiming to enact large scale or mass argumentation. The proposed framework allows mass-collaborative editing of structured arguments in the style of semantic wikipedia. The long term goal is to apply the abstract machinery of argumentation theory to more practical applications based on human generated arguments, such as deliberative democracy, business negotiation, or self-care.||0||0|
|Extending SMW+ with a linked data integration framework||Christian Becker
|CEUR Workshop Proceedings||English||2010||In this paper, we present a project which extends a SMW+ semantic wiki with a Linked Data Integration Framework that performs Web data access, vocabulary mapping, identity resolution, and quality evaluation of Linked Data. As a result, a large collection of neurogenomicsrelevant data from the Web can be flexibly transformed into a unified ontology, allowing unified querying, navigation, and visualization; as well as support for wiki-style collaboration, crowdsourcing, and commentary on chosen data sets.||0||0|
|Human computer collaboration to improve annotations in semantic wikis||Boyer A.
|WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology||English||2010||Semantic wikis are promising tools for producing structured and unstructured data. However, they suffer from a lack of user provided semantic annotations, resulting in a loss of efficiency, despite of their high potential. We propose a system that suggests automatically computed annotations to users in peer to peer semantic wikis. Users only have to validate, complete, modify, refuse or ignore these suggested annotations. Therefore, the annotation task becomes easier, more users will provide annotations. The system is based on collaborative filtering recommender systems, it does not exploit the content of the pages but the usage made on these pages by the users. The resulting semantic wikis contain several kinds of annotations with different status: human, computer or human-computed provided annotations.||0||0|
|Human-machine collaboration for enriching semantic wikis using formal concept analysis||Blansche A.
|CEUR Workshop Proceedings||English||2010||Semantic wikis are new generation of collaborative tools. They allow to embed semantic annotations in the wiki content. These annotations allow to better organize and structure the wiki contents. It is then possible for users to build knowledge understandable by humans and computers. By this way, machines are allowed to produce or update semantic wiki pages as humans can do. In this paper, we propose a new smart agent based on Formal Concept Analysis. This smart agent can compute automatically category trees based on defined semantic properties. In order to reduce human-machine collaboration problems, humans just validate changes proposed by the smart agent. A distributed version of wiki is used to ensure consistency of the content during the validation process.||0||0|
|Ideator - A collaborative enterprise idea management tool powered by KiWi?||Sint R.
|CEUR Workshop Proceedings||English||2010||"The most difficult thing with ideas is not to have them. It's to find out if they're good ." This position paper demonstrates the requirements for an idea management application and presents the idea management tool Ideator. The Ideator is a software tool which is currently under development and which offers innovative and flexible solutions to idea management in company environments. It is based on the semantic wiki KiWi that is a framework for semantic social software applications. We present several functionalities of the Ideator and show which modifications and extensions of KiWi are necessary for their realisation.||0||0|
|Jump-starting a body-of-knowledge with a semantic wiki on a discipline ontology||Codocedo V.
|CEUR Workshop Proceedings||English||2010||Several communities have engaged recently in assembling a Body of Knowledge (BOK) to organize the discipline knowledge for learning and sharing. BOK ideally represents the domain, contextualizes assets (e.g. literature), and exploits the Social Web potential to maintain and improve it. Semantic wikis are excellent tools to handle domain (ontological) representations, to relate items, and to enable collaboration. Unfortunately, creating a whole BOK (structure, content and relations) from scratch may fall prey to the "white page syndrome"1, given the size and complexity of the domain information. This article presents an approach to jump-start a BOK, by implementing it as a semantic wiki organized around a domain ontology. Domain representation (structure and content) are initialized by automatically creating wiki pages for each ontology concept and digital asset; the ontology itself is semi-automatically built using natural language processing (NLP) techniques. Contextualization is initialized by automatically linking concept- and asset-pages. The proposal's feasibility is shown with a prototype for a Software Architecture BOK, built from 1,000 articles indexed by a well-known scientific digital library and completed by volunteers. The proposed approach separates the issues of domain representation, resources contextualization, and social elaboration, allowing communities to try on alternate solutions for each issue.||0||0|
|Mash-up of lexwiki and web-protégé for distributed authoring of large-scale biomedical terminologies||Jiang G.
|CEUR Workshop Proceedings||English||2010||In this presentation, we propose a framework for distributed authoring of large-scale biomedical ter-minologies, which comprises three modules: a structured proposal creation module using semantic wiki machinery, a proposal harvesting module using a formal ontology editing platform and a backend module with a formal terminology model. We devel-oped a prototype of the framework based on a real world use case through a mash-up of LexWiki and Web-Protégé.||0||0|
|OntoWiki: A semantic data Wiki enabling the collaborative creation and (Linked Data) publication of RDF Knowledge Bases||Tramp S.
|CEUR Workshop Proceedings||English||2010||In our demonstration (with supportive poster) we want to present the Semantic Wiki application OntoWiki, which is an extensible tool for managing structured information in a collaborative, web-based environment. OntoWiki provides sophisticated means for navigating, visualising and authoring of RDF-based Knowledge Bases. It serves and consumes Linked Data and comprises a comprehensive middleware API for building custom Semantic Web applications. We refer to it as a Wiki, since our focus is on simplicity, adaptability and collaboration. However, other than annotating text-based Wiki pages with a special syntax (as suggested by text-based Semantic Wiki approaches), OntoWiki uses RDF in the first place to represent information. For human users, OntoWiki allows to create different views on data, such as tabular representations or maps. For machine onsumption it supports various RDF serialisations as well as RDFa, Linked Data and SPARQL interfaces. Since its introduction , the application has evolved into a framework for building Semantic Web applications  and was recently updated to support the collaboration across multiple domains and application via Semantic Pingback  and RDFauthor .||0||0|
|OpenDrugWiki - Using a semantic wiki for consolidating, editing and reviewing of existing heterogeneous drug data||Kostlbacher A.
|CEUR Workshop Proceedings||English||2010||The ongoing project which is described in this article pursues the integration and consolidation of drug data available in different Microsoft Office documents and existing information systems. An initial import of unstructured data out of five heterogeneous sources into a semantic wiki was performed using custom import scripts. Using Semantic MediaWiki and the Semantic Forms extension, we created a convenient wiki-based system for editing the merged data in one central application. Revised and reviewed data is exported back into production systems on a regular basis.||0||0|
|Overcoming information overload in the enterprise: The active approach||Elena Simperl
|IEEE Internet Computing||English||2010||Knowledge workers are central to an organization's success, yet their information management tools often hamper their productivity. This has major implications for businesses across the globe because their commercial advantage relies on the optimal exploitation of their own enterprise information, the huge volumes of online information, and the productivity of the required knowledge work. The Active project addresses this challenge through an integrated knowledge management workspace that reduces information overload by significantly improving the mechanisms for creating, managing, and using information. The project's approach follows three themes: sharing information through tagging, wikis, and ontologies; prioritizing information delivery by understanding users' current-task context; and leveraging informal processes that are learned from user behavior.||0||0|
|Qualitative analysis of semantically enabled knowledge management systems in agile software engineering||Jorg Rech
|International Journal of Knowledge Management||English||2010||In many agile software engineering organizations there is not enough time to follow knowledge management processes, to retrieve knowledge in complex processes, or to systematically elicit knowledge. This chapter gives an overview about the human-centered design of semantically-enabled knowledge management systems based on Wikis used in agile software engineering environments. The methodology - developed in the RISE (Reuse in Software Engineering) project - enables and supports the design of human-centered knowledge sharing platforms, such as Wikis. Furthermore, the paper specifes requirements one should keep in mind when building human-centered systems to support knowledge management. A two-phase qualitative analysis showed that the knowledge management system acts as a fexible and customizable view on the information needed during working-time which strongly relieves software engineers from time-consuming retrieval activities. Furthermore, the observations gave some hints about how the software system supports the collection of vital working experiences and how it could be subsequently formed and refned.||0||0|
|Resubmission: Taking OWL to Athens: Semanticweb technology takes ancient greek history to students||Jochen Reutelshoefer
|LWA 2010 - Lernen, Wissen und Adaptivitat - Learning, Knowledge, and Adaptivity, Workshop Proceedings||English||2010||The HermesWiki project is a semantic wiki application on Ancient Greek History. As an elearning platform, it aims at providing students effective access to concise and reliable domain knowledge, that is especially important for exam preparation. In this paper, we show how semantic technologies introduce new methods of learning by supporting teachers in the creation of contents and students in the personalized identification of required knowledge. Therefore, we give an overview of the project and characterize the semi-formalized content. Additionally, we present several use cases and describe the semantic web techniques that are used to support the application. Furthermore, we report on the user experiences regarding the usefulness and applicability of semantic technologies in this context.||0||0|
|Scientific collaborations: Principles of wikibridge design||Leclercq E.
|CEUR Workshop Proceedings||English||2010||Semantic wikis, wikis enhanced with Semantic Web technologies, are appropriate systems for community-authored knowledge models. They are particularly suitable for scientific collaboration. This paper details the design principles ofWikiBridge, a semantic wiki.||0||0|
|Semantic wiki refactoring. A strategy to assist semantic wiki evolution||Rosenfeld M.
|CEUR Workshop Proceedings||English||2010||The content and structure of a wiki evolve as a result of the collaborative effort of the wiki users. In semantic wikis, this also results in the evolution of the ontology that is implicitly expressed through the semantic annotations. Without proper guidance, the semantic wiki can evolve in a chaotic manner resulting in quality problems in the underlying ontology, e.g. inconsistencies. As the wiki grows in size, the detection and solution of quality problems become more diffcult. We propose an approach to detect quality problems in semantic wikis and assist users in the process of solving them. Our approach is inspired by the key principles of software refactoring, namely the cataloging and automated detection of quality problems (bad smells), and the application of quality improvement transformations (refactorings). In this paper we discuss the problem of evolving semantic wikis, present the core model of our approach, and introduce an extensible catalog of semantic wiki bad smells and an extensible toolkit of semantic wiki refactorings.||0||0|
|Semantically enriched tools for the knowledge society: Case of project management and presentation||Talas J.
|Communications in Computer and Information Science||English||2010||Working with semantically rich data is one of the stepping stones to the knowledge society. In recent years, gathering, processing, and using semantic data have made a big progress, particularly in the academic environment. However, the advantages of the semantic description remain commonly undiscovered by a "common user", including people from academia and IT industry that could otherwise profit from capabilities of contemporary semantic systems in the areas of project management and/or technology-enhanced learning. Mostly, the root cause lays in complexity and non-transparency of the mainstream semantic applications. The semantic tool for project management and presentation consists mainly of a module for the semantic annotation of wiki pages integrated into the project management system Trac. It combines the dynamic, easy-of-use nature and applicability of a wiki for project management with the advantages of semantically rich and accurate approach. The system is released as open-source (OS) and is used for management of students' and research projects at the research lab of the authors.||0||0|
|Semantics for digital engineering archives supporting engineering design education||Regli W.
|AI Magazine||English||2010||This article introduces the challenge of digital preservation in the area of engineering design and manufacturing and presents a methodology to apply knowledge representation and semantic techniques to develop digital engineering archives. This work is part of an ongoing, multiuniversity effort to create cyber infrastructure-based engineering repositories for undergraduates (CIBER-U) to support engineering design education. The technical approach is to use knowledge representation techniques to create formal models of engineering data elements, work flows, and processes. With these techniques formal engineering knowledge and processes can be captured and preserved with some guarantee of long-term interpretability. The article presents examples of how the techniques can be used to encode specific engineering information packages and work flows. These techniques are being integrated into a semantic wiki that supports the CIBER-U engineering education activities across nine universities and involving more than 3500 students since 2006. Copyright © 2010, Association for the Advancement of Artificial Intelligence. All rights reserved.||0||0|
|Socio-technical security assessment of a VoIP system||Pietikainen P.
|Proceedings - 4th International Conference on Emerging Security Information, Systems and Technologies, SECURWARE 2010||English||2010||In this paper, we introduce a method and a tool for systematically assessing the security of complex systems. We gather data from interviews, network documentation as well as active and passive network measurements and combine them in a semantic model with our tool, Graphingwiki. We tested our methodology on an active large-scale VoIP system. The multifaceted data gathering and analysis method was fast and extensive and proved to be effective in finding the weaknesses of the system. The method provided a repeatable method of measuring and ensuring the security of the system. The largest benefit of the method is in quick and efficient data collection from several, differing, data sources and the resulting analyses of the combined data.||0||0|
|Stakeholders-driven requirements semantics acquisition for networked software systems||Wen B.
|Proceedings - International Computer Software and Applications Conference||English||2010||Large-scale and complex system exhibits adaptive feature, and evolutionary emergence of collective behaviors is its fundamental phenomena. Considering service oriented requirements engineering (SORE), this paper explores requirements semantics acquisition technique and analyzes its adaptive feature. The strategy of evolutionary growth to gain domain-specific requirements semantics model is proposed. Also, this approach combines with folks and experts intelligence to create requirements semantics. The instantiation of semantics is performed based on this model. The semantic model can facilitate consistency check and reasoning for high-quality requirements. By employing the functions provided by semantic wikis, a stakeholders-driven semantics acquisition platform for prerequirements is designed. Apart from traditional documentary specification, on-demand semantics artifacts will be exported to the subsequent services aggregation and semantics-driven service customization.||0||0|
|TasTicWiki: A semantic wiki with content recommendation||Ruiz-Montiel M.
|CEUR Workshop Proceedings||English||2010||Wikis are a great tool inside the Social Web, as they provide the chance of creating collaborative knowledge in a quick way. Semantic wikis are becoming popular as Web technologies evolve: ontologies and semantic markup on the Web allow the generation of machine-readable information. Semantic wikis are often seen as small semantic webs as they provide support for enhanced navigation and searching of their contents, just what the standards of the Semantic Web aim to offer. Moreover, the great amount of information normally present inside wikis, or any web page, creates the necessity of some kind of filtering or personalized recommendation in order to lighten the search of interesting items. We have developed TasTicWiki, a novel semantic wiki engine which takes advantage of semantic information in order, not only to enhance navigation and searching, but also to provide recommendation services.||0||0|
|ThinkFree: Using a visual wiki for IT knowledge management in a tertiary institution||Christian Hirsch
|WikiSym 2010||English||2010||We describe ThinkFree, an industrial Visual Wiki application which provides a way for end users to better explore knowledge of IT Enterprise Architecture assets that is held within a large enterprise wiki. The application was motivated by the difficulty users were facing navigating and understanding enterprise architecture information in a large corporate wiki. ThinkFree provides a graph based interactive visualization of IT assets which are described using the Freebase semantic wiki. It is used to visualize relationships between those assets and navigate between them. We describe the motivation for the development of ThinkFree, its design and implementation. Our experiences in corporate rollout of the application are discussed, together with the strengths of weaknesses of the approach we have taken and lessons learned from ThinkFree's development and deployment.||0||0|
|Using DSMW to build a network of semantic mediawiki servers||Hala Skaf-Molli
|CEUR Workshop Proceedings||English||2010||DSMW is an extension to Semantic Mediawiki (SMW), it allows to create a network of SMW servers that share common semantic wiki pages. DSMW users can create communication channels between servers and use a publish-subscribe approach to manage the change propagation. DSMW synchronizes concurrent updates of shared semantic pages to ensure their consistency. It offers new collaboration modes to semantic wiki users and supports dataflow-oriented processes.||0||0|
|Using machine learning to support continuous ontology development||Ramezani M.
|Lecture Notes in Computer Science||English||2010||This paper presents novel algorithms to support the continuous development of ontologies; i.e. the development of ontologies during their use in social semantic bookmarking, semantic wiki or other social semantic applications. Our goal is to assist users in placing a newly added concept in a concept hierarchy. The proposed algorithm is evaluated using a data set from Wikipedia and provides good quality recommendation. These results point to novel possibilities to apply machine learning technologies to support social semantic applications.||0||0|
|Using semantic Wikis as collaborative tools for geo-ontology||Li Q.
|2010 18th International Conference on Geoinformatics, Geoinformatics 2010||English||2010||As ontology has become a convenient vehicle for domain knowledge and metadata, it is used for realizing information sharing at semantic level in geoscience. Building geo-ontology is a systematic engineering and requires collaborative work, while there is a lack of ontology edit tools supporting collaborative work. Since Wikis are cooperative tools for easy writing and sharing of content and semantic Wikis are the Wikis improved with Semantic Web for representing semantic information, we propose to use semantic Wikis as cooperative tools for building geo-ontology. An architecture similar as semantic Wiki for geo-ontology editing is presented. As well as the semantic hierarchy of geo-information and the evolvement mechanism of geo-ontology in it are presented. The usefulness of the approach is demonstrated by a small case study.||0||0|
|VisKQWL, a visual renderer for a semantic web query language||Hartl A.
|Visual Semantic Client a visualization tool for semantic content||Wahl H.
|ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer||English||2010||The University of Applied Sciences Technikum Wien is a fastgrowing education organization that actually offers a set of 12 bachelor and 14 master degree programs. Coordination of lectures and therefore quality management has become more and more difficult. Knowledge management in terms of lecture contents and professional skills of lecturers seems to be an unsolvable task. As a matter of f act, nobody is able to overlook all teaching details of the whole university. Although information is available in several databases and documents even getting an overview of all detail content of a single degree program turns out to be impossible. To overcome this problem the Technikum Wien started a project to extract selected information from documents and store it in a Semantic Wiki by automatically setting up entities and their relations. To improve usage of semantic content a software tool to browse the information categories and their relations has being developed. The "Visual Semantic Client" visualizes entities with their attributes and allows following or searching their relations. The paper shows the concepts behind, the system architecture and the current state of development.||0||0|
|Weaving a social data web with semantic pingback||Tramp S.
|Lecture Notes in Computer Science||English||2010||In this paper we tackle some pressing obstacles of the emerging Linked Data Web, namely the quality, timeliness and coherence of data, which are prerequisites in order to provide direct end user benefits. We present an approach for complementing the Linked Data Web with a social dimension by extending the well-known Pingback mechanism, which is a technological cornerstone of the blogosphere, towards a Semantic Pingback. It is based on the advertising of an RPC service for propagating typed RDF links between Data Web resources. Semantic Pingback is downwards compatible with conventional Pingback implementations, thus allowing to connect and interlink resources on the Social Web with resources on the Data Web. We demonstrate its usefulness by showcasing use cases of the Semantic Pingback implementations in the semantic wiki OntoWiki and the Linked Data interface for database-backed Web applications Triplify.||0||0|
|Workshop on current issues in predictive approaches to intelligence and security analytics: Fostering the creation of decision advantage through model integration and evaluation||Sanfilippo A.||ISI 2010 - 2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security||English||2010||The increasing asymmetric nature of threats to the security, health and sustainable growth of our society requires that anticipatory reasoning become an everyday activity. Currently, the use of anticipatory reasoning is hindered by the lack of systematic methods for combining knowledge- and evidence-based models, integrating modeling algorithms, and assessing model validity, accuracy and utility. The workshop addresses these gaps with the intent of fostering the creation of a community of interest on model integration and evaluation that may serve as an aggregation point for existing efforts and a launch pad for new approaches.||0||0|
|A corporate semantic wiki for scientific workflows||Paschke A.
|Proceedings of I-KNOW 2009 - 9th International Conference on Knowledge Management and Knowledge Technologies and Proceedings of I-SEMANTICS 2009 - 5th International Conference on Semantic Systems||English||2009||State-of-the-art business process management tools provide only limited support for weakly-structured scientific workflow processes which involve knowledge intensive human interactions and are subject to frequent changes and agile compensations and exceptions. In order to address these shortcomings we propose a novel combination of a BPM system with a Corporate Semantic Web wiki. The user-friendliness of the later as regarding multi-site content generation and the power of semantic technologies as w.r.t. organizing and retrieving organizational knowledge, business rules and business vocabularies are likely to complement one another, leading to a new generation of collaborative Web 3.0 BPM tools.||0||0|
|A knowledge workbench for software development||Panagiotou D.
|Proceedings of I-KNOW 2009 - 9th International Conference on Knowledge Management and Knowledge Technologies and Proceedings of I-SEMANTICS 2009 - 5th International Conference on Semantic Systems||English||2009||Modern software development is highly knowledge intensive; it requires that software developers create and share new knowledge during their daily work. However, current software development environments are "syntactic", i.e. they do not facilitate understanding the semantics of software artefacts and hence cannot fully support the knowledge-driven activities of developers. In this paper we present KnowBench, a knowledge workbench environment which focuses on the software development domain and strives to address these problems. KnowBench aims at providing software developers such a tool to ease their daily work and facilitate the articulation and visualization of software artefacts, concept-based source code documentation and related problem solving. Building a knowledge base with software artefacts by using the KnowBench system can then be exploited by semantic search engines or P2P metadata infrastructures in order to foster the dissemination of software development knowledge and facilitate cooperation among software developers.||0||0|
|A semantic MediaWiki-empowered terminology registry||Qing Zou
|A semantic wiki on cooperation in public administration in Europe||Krabina B.||IMSCI 2009 - 3rd International Multi-Conference on Society, Cybernetics and Informatics, Proceedings||English||2009||Authorities cooperate in various ways. The Web portal www. verwaltungskooperation.eu aims to share knowledge on collaboration projects. A semantic wiki approach was used to facilitate best practice documentation with Semantic Web and Web 2.0 technology.||0||0|
|AceWiki: A natural and expressive semantic wiki||Kuhn T.||CEUR Workshop Proceedings||English||2009||We present AceWiki, a prototype of a new kind of semantic wiki using the controlled natural language Attempto Controlled English (ACE) for representing its content. ACE is a subset of English with a restricted grammar and a formal semantics. The use of ACE has two important advantages over existing semantic wikis. First, we can improve the usability and achieve a shallow learning curve. Second, ACE is more expressive than the formal languages of existing semantic wikis. Our evaluation shows that people who are not familiar with the formal foundations of the Semantic Web are able to deal with AceWiki after a very short learning phase and without the help of an expert.||0||0|
|An e-learning framework for assessment (FREMA)||Wills G.B.
|Assessment and Evaluation in Higher Education||English||2009||This article reports on the e-Framework Reference Model for Assessment (FREMA) project that aimed at creating a reference model for the assessment domain: a guide to what resources (standards, projects, people, organisations, software, services and use cases) exist for the domain, aimed at helping strategists understand the state of elearning assessment, and helping developers to place their work in context and thus the community to build coherent systems. This article describes the rationale and method of developing the FREMA model and how it may be used. We delivered FREMA via a heavily interlinked website. Because the resulting network of resources was so complex, we required a method of providing users with a structured navigational method that helped them explore and identify resources useful to them. This led us to look at how overviews of e-learning domains have been handled previously, and to work towards our own concept maps that ploted the topology of the domain. FREMA represents an evolving view of the domain and therefore we developed the website into a Semantic Wiki, thereby allowing the assessment community to record their own projects and services and thus to grow the reference model over time.||0||0|
|An extensible semantic wiki architecture||Jochen Reutelshoefer
|CEUR Workshop Proceedings||English||2009||Wikis are prominent for successfully supporting the quick and simple creation, sharing and management of content on the web. Semantic wikis improve this by semantically enriched content. Currently, notable advances in different fields of semantic technology like (paraconsistent) reasoning, expressive knowledge (e.g., rules), and ontology learning can be observed. By making use of these technologies, semantic wikis should not only allow for the agile change of its content but also the fast and easy integration of emerging semantic technologies into the system. Following this idea, the paper introduces an extensible semantic wiki architecture.||0||0|
|Automatic population and updating of a semantic wiki-based configuration management database||Frank Kleiner
|INFORMATIK 2009 - Im Focus das Leben, Beitrage der 39. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)||English||2009||This paper describes our work on designing and implementing a component for automatically integrating and updating information about configuration items into a Semantic Wiki-based configuration management database. The presented solution uses technology for information gathering which is built-in or available for most current mainstream operating systems. By using Semantic Wiki technology, e.g., semantic queries and inference, the handling of configuration-management information is simplified and more powerful analyses are possible.||0||0|
|Building a semantic virtual museum: From wiki to semantic wiki using named entity recognition||Alain Plantec
|Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA||English||2009||In this paper, we describe an approach for creating semantic wiki pages from regular wiki pages, in the domain of scientific museums, using information extraction methods in general and named entity recognition in particular. We make use of a domain specific ontology called CIDOC-CRM as a base structure for representing and processing knowledge. We have described major components of the proposed approach and a three-step process involving name entity recognition, identifying domain classes using the ontology and establishing the properties for the entities in order to generate semantic wiki pages. Our initial evaluation of the prototype shows promising results in terms of enhanced efficiency and time and cost benefits.||0||0|
|Collaborative ontology construction using template-based wild for semantic web applications||Lim S.-K.
|Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009||English||2009||Collaborative ontology construction and management have become an important issue for allowing domain experts to build domain knowledge that are needed for Semantic Web applications. However, it is normally a difficult task for domain experts to create an ontology-based model and to produce knowledge elements based on the model. In this paper, we propose a Wiki-based environment where domain experts can easily and collaboratively organize domain knowledge. In this approach, templates can be defined and associated with ontology to enable users to arrange knowledge components in a Wiki pages and to store them based on an ontology-based model. We have developed and tested a Template-based Semantic Wiki for u-health applications.||0||0|
|Combining unstructured, fully structured and semi-structured information in semantic wikis||Sint R.
|CEUR Workshop Proceedings||English||2009||The growing impact of Semantic Wikis deduces the importance of finding a strategy to store textual articles, semantic metadata and management data. Due to their different characteristics, each data type requires a specialized storing system, as inappropriate storing reduces performance, robustness, flexibility and scalability. Hence, it is important to identify a sophisticated strategy for storing and synchronizing different types of data structures in a way they provide the best mix of the previously mentioned properties. In this paper we compare fully structured, semi-structured and unstructured data and present their typical appliance. Moreover, we discuss how all data structures can be combined and stored for one application and consider three synchronization design alternatives to keep the distributed data storages consistent. Furthermore, we present the semantic wiki KiWi, which uses an RDF triplestore in combination with a relational database as basis for the persistence of data, and discuss its concrete implementation and design decisions.||0||0|
|Consensus Choice for Reconciling Social Collaborations on Semantic Wikis||Jason J. Jung
Ngoc Thanh Nguyen
|Customer information management based on semantic web in E-commerce||Ji Z.||FBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering||English||2009||This paper aims at the require of Customer' information management demands, and puts forward a information management model oriented Customer demand, and provide the formalized description of the model. On the base of the model, design a semantic web overlay network based information management framework in E-commerce. The framework provides a flat information sharing and management environment by linking the information demands of Customer and information architecture. The framework provides the capability of information resource releasing, discovering and locating by the bottom-up and top-down united information organizing mode.||0||0|
|Developing consistent and modular software models with ontologies||Robert Hoehndorf
|Proceedings of 8th International Conference on New Trends in Software Methodologies, Tools and Techniques, SoMeT 09||English||2009||The development and verification of software models that are applicable across multiple domains remains a difficult problem. We propose a novel approach to model-driven software development based on ontologies and Semantic Web technology. Our approach uses three ontologies to define software models: a task ontology, a domain ontology and a top-level ontology. The task ontology serves as the conceptual model for the software, the domain ontology provides domainspecific knowledge and the top-level ontology integrates the task and domain ontologies. Our method allows the verification of these models both for consistency and ontological adequacy. This verification can be performed both at development and runtime. Domain ontologies are replaceable modules, which enables the comparison and application of the models built using our method across multiple domains. We demonstrate the viability of our approach through the design and implementation of a semantic wiki and a social tagging system, and compare it with model-driven software development to illustrate its benefits.||0||0|
|Engineering expressive knowledge with semantic wikis||Joachim Baumeister
|CEUR Workshop Proceedings||English||2009||Semantic wikis are successfully used in various application domains. Such systems combine the flexible and agile authoring process with strong semantics of ontologies. The current state-of-the-art of systems, however, is diverse in the sense of having a common ground. Especially, the expressiveness of the knowledge representation of semantic wikis undergoes continuous improvement. In the paper, two semantic wiki implementations are discussed, that are both extending semantic wiki implementations by strong problem-solving knowledge. We compare their approaches and we aim to condense the fundamental characteristics of a strong problem-solving wiki.||0||0|
|Engineering on the knowledge formalization continuum||Joachim Baumeister
|CEUR Workshop Proceedings||English||2009||Usually, domain knowledge is available at different levels of formality, for example such as documents, data bases, and (business) rules. We argue, that today's systems limit the knowledge engineering process to a fixed level of formality and expressiveness, respectively, and that these limitations hinder effective knowledge acquisition and use. In consequence, we introduce the knowledge formalization continuum as a metaphor, that embraces the fact that knowledge is available in different formalities. We motivate that a semantic wiki is a suitable tool to work on the knowledge formalization continuum, and we introduce KnowWE as an example wiki implementation.||0||0|
|Enhancing Grid Service Discovery with a Semantic Wiki and the Concept Matching Approach||Tao Guan
David De Roure
|Metasocial wiki - Towards an interlinked knowledge in a decentralized social space||Cano A.E.
|CEUR Workshop Proceedings||English||2009||This paper introduces a new approach to semantic wikis. In this approach users coming from different social networks can be merged into a common space to enable collaboration. This approach makes use of the user's identity representation and keeping track of the user's interests according to the type of annotations encountered in the content they add.||0||0|
|Modelling diagnostic flows inwikis (position paper)||Hatko R.
|LWA 2009 - Workshop-Woche: Lernen-Wissen-Adaptivitat - Learning, Knowledge, and Adaptivity||English||2009||The engineering of diagnostic process knowledge is a complex and time-consuming task. Diagnostic flows intuitively represent diagnostic problem-solving knowledge by using the workflow metaphor, and they can be interpreted as an generalization of decision trees. In this position paper, we propose a graph-based language for the definition of diagnostic flows and informally describe the basic elements of the language. Due to the modularity of diagnostic flows the collaborative acquisition of the knowledge becomes possible. In the past, Semantic Wikis showed their suitability for the collaborative development of knowledge bases. We introduce a prototypical flow editor, that was implemented as a plugin of the Semantic Wiki KnowWE.||0||0|
|NeuroLex.org-A semantic wiki for neuroinformatics based on the NIF standard ontology||Larson S.D.
|CEUR Workshop Proceedings||English||2009||Bridging the domain knowledge of a scientific community and the knowledge engineering skills of the ontology community is still an imperfect practice. Within the field of neuroscience, we have tried to close this gap by presenting an ontology through the medium of a wiki where each page corresponds to a class. By opening it to the World Wide Web, we have made the process of maintaining a ∼20,000 concept neuroscience ontology (NIFSTD), more collaborative.||0||0|
|Organización de información en herramientas wiki: aplicación de ontologías en wikis semánticos||Jesús Tramullas
|IX Congreso ISKO España, Nuevas perspectivas para la difusión y organización del conocimiento, Univ. Politécnica de Valencia||Spanish||2009||This work checks the methods and techniques applied to software tools and platforms known as semantic wikis. It is carried out a revision of the available bibliography on the subject and the main features provided for the several tools have been pointed out. The analysis let us to confirm the variety of the semantic methods and techniques put into practice, and that the available products, in present-day status, they are not ready to be used by management information systems yet.||0||0|
|Personal knowledge management for knowledge workers using social semantic technologies||Hyeoncheol Kim
|International Journal of Intelligent Information and Database Systems||English||2009||Knowledge workers have different applications and resources in heterogeneous environments for doing their knowledge tasks and they often need to solve a problem through combining several resources. Typical personal knowledge management (PKM) systems do not provide effective ways for representing knowledge worker's unstructured knowledge or idea. In order to provide better knowledge activity for them, we implement Wiki-based social Network Thin client (WANT) that is a wiki-based semantic tagging system for collaborative and communicative knowledge creation and maintenance for a knowledge worker. And also, we suggest the social semantic cloud of tags (SCOT) ontology to represent tag data at a semantic level and combine this ontology in WANT. WANT supports a wide scope of social activities through online mash-up services and interlink resources with desktop and web environments. Our approach provides basic functionalities such as creating, organising and searching knowledge at individual level, as well as enhances social connections among knowledge workers based on their activities. Copyright||0||0|
|Personal navigation in semantic wikis||Torres D.
|CEUR Workshop Proceedings||English||2009||In this paper, we propose a personal navigation approach to Semantic Wikis. In semantic wikis, wikis pages are annotated with semantic data to facilitate research and navigation. The navigation is collaborative designed and shared by every user. However, individuals involved in a collaborative knowledge building activity need to customize the navigation according to her personal needs. In order to overcome this, we extend semantic wikis with personal annotations facilities to support personal navigation. This approach differs from other adaptive navigation approaches, because of the personalization is carried out by the user herself. We have implemented and validated these ideas on the top of a P2P semantic wiki.||0||0|
|Requirements Reasoning for Distributed Requirements Analysis Using Semantic Wiki||Peng Liang
|STraS: A framework for semantic traceability in enterprise-wide SOA life-cycle management||Seedorf S.
|Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC||English||2009||In recent years, service-oriented architecture (SOA) has been widely adopted for enterprise application integration. A SOA not only promotes interoperable, loosely coupled enterprise applications; it also reduces the conceptual gap between business and IT. For SOA life-cycle management it is desirable that business processes can be traced to services and vice versa. However, this is usually not the case because many stakeholders and often more than one organization are involved in the SOA ecosystem. In addition, the various stakeholders employ their own vocabularies and formats. In this paper, we therefore recognize semantic traceability as the missing link between the two worlds and promote an integrated view on the various entities in the SOA life-cycle. First, we describe a SOA life-cycle model. Second, we propose the STraS traceability framework for end-to-end semantic traceability. Finally, we show how our approach contributes to the management of a SOA in business networks.||0||0|
|Schema management in a semantic wiki||Reininger D.
|CEUR Workshop Proceedings||English||2009||A semantic wiki for tactical intelligence requires collaborative, iterative schema management. Application developers can provide users with control and visibility required to tailor an ontology to meet unique requirements.||0||0|
|Semantic Wiki aided business process specification||Toufeeq Hussain
|WWW'09 - Proceedings of the 18th International World Wide Web Conference||English||2009||This paper formulates a collaborative system for modeling business application. The system uses a Semantic Wiki to enable collaboration between the various stakeholders involved in the design of the system and translates the captured intelligence into business models which are used for designing a business system. Copyright is held by the author/owner(s).||0||0|
|Semantic Wiki as a Basis for Software Engineering Ontology Evolution||Natsuda Kasisopha
Farookh Khadeer Hussain
|Semantic Wiki as a basis for software engineering ontology evolution||Natsuda Kasisopha
Farookh Khadeer Hussain
|Lecture Notes in Computer Science||English||2009||Ontology plays a vital role in sharing a common understanding of the domain among groups of people and provides terminology interpretable by machines. Recently, ontology has grown and continued to evolve constantly, but there are not many tools to provide an environment to support ontology evolution. This paper introduces a framework to support the management and maintenance leading to the evolution of Ontology by focusing on Software Engineering Ontology. The proposed framework will take into account the users' perspectives on the ontology and keep track of the comments in a formal manner. We propose the use of technology such as Semantic MediaWiki as a means to overcome the aforementioned problems.||0||0|
|Semantic wiki for tactical intelligence applications: A demonstration||Reininger D.
Robert Bullard P.
|CEUR Workshop Proceedings||English||2009||This paper demonstrates a semantic wiki application that helps tactical users manage data from diverse sources and multiple locations.||0||0|
|Semantic wikis: A comprehensible introduction with examples from the health sciences||Boulos M.N.K.||Journal of Emerging Technologies in Web Intelligence||English||2009||This paper provides a concise introduction to semantic wikis. It also offers pointers to useful online resources about the subject, and presents some semantic wiki examples from the health and healthcare sciences.||0||0|
|The effect of using a semantic wiki for metadata management: A controlled experiment||Huner K.M.
|Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS||English||2009||A coherent and consistent understanding of corporate data is an important factor for effective management of diversified companies and implies a need for company-wide unambiguous data definitions. Inspired by the success of Wikipedia, wiki software has become a broadly discussed alternative for corporate metadata management. However, in contrast to the performance and sustainability of wikis in general, benefits of using semantic wikis have not been investigated sufficiently. The paper at hand presents results of a controlled experiment that investigates effects of using a semantic wiki for metadata management in comparison to a classical wiki. Considering threats to validity, the analysis (i.e. 74 subjects using both a classical and a semantic wiki) shows that the semantic wiki is superior to the classical variant regarding information retrieval tasks. At the same time, the results indicate that more effort is needed to build up the semantically annotated wiki content in the semantic wiki.||0||0|
|Towards a collaborative semantic wiki-based approach to it service management||Frank Kleiner
|Proceedings of I-KNOW 2009 - 9th International Conference on Knowledge Management and Knowledge Technologies and Proceedings of I-SEMANTICS 2009 - 5th International Conference on Semantic Systems||English||2009||This paper proposes a collaborative approach to aspects of IT service management (ITSM) for agile information technology landscapes composed of technically knowledgeable users and fast changing requirements. The cost-intensive and timeconsuming tasks of building and maintaining a configuration management database (CMDB) are accomplished in a distributed, collaborative way in a semantic wiki in cooperation between administrators, service desk personnel and users of the systems. Moreover, the paper introduces a exible, wiki-based approach to change management for agile environments. Automatic consistency checks based on semantic information extracted from the wiki prevent misconfigurations and the unintentional application of conicting configuration changes.||0||0|
|Use of semantics to build an academic writing community environment||Bajanki S.
Le Bek A.
|Frontiers in Artificial Intelligence and Applications||English||2009||Writing a dissertation is a critical aspect of the learning experience for most university students in all disciplines. It is often accompanied by anxiety and uncertainty, which supervisors often struggle to understand and address. A community-driven approach to support dissertation writing based on semantic social scaffolding is presented here. The paper describes how a semantic wiki was tailored to develop a social writing environment to provide holistic support throughout the whole dissertation process. Based on initial evaluation studies, we discuss the benefits and pitfalls of semantics. The work contributes to a recent research strand that examines how to exploit new social computing technologies to develop effective learning environments. © 2009 The authors and IOS Press. All rights reserved.||0||0|
|WIKITAAABLE: A semantic wiki as a blackboard for a textual case-based reasoning system||Cordier A.
|CEUR Workshop Proceedings||English||2009||Semantic wikis enable a community of users to produce formalized knowledge readable and usable by machines. To take one step further, one can use a semantic wiki as a blackboard allowing humans and machines to interact in order to build knowledge that is useful for both humans and machines. In this paper, we present a case study of the use of a semantic wiki (Semantic Media Wiki) as a blackboard to manage culinary data and knowledge. This case study is performed within the context of the TAAABLE application, a case-based reasoning web system aiming at solving cooking problems on the basis of existing recipes. With WIKITAAABLE, an evolution of TAAABLE based on a semantic wiki, we show how a semantic wiki assists users in their knowledge management tasks by taking into account user feedback. The issues related to the integration of several knowledge management mechanisms in a single application are discussed at the end of the paper.||0||0|
|Wanderlust: Extracting semantic relations from natural language text using dependency grammar patterns||Akbik A.
|CEUR Workshop Proceedings||English||2009||A great share of applications in modern information technology can benefit from large coverage, machine accessible knowledge bases. However, the bigger part of todays knowledge is provided in the form of unstructured data, mostly plain text. As an initial step to exploit such data, we present Wanderlust, an algorithm that automatically extracts semantic relations from natural language text. The procedure uses deep linguistic patterns that are defined over the dependency grammar of sentences. Due to its linguistic nature, the method performs in an unsupervised fashion and is not restricted to any specific type of semantic relation. The applicability of the proposed approach is examined in a case study, in which it is put to the task of generating a semantic wiki from the English Wikipedia corpus. We present an exhaustive discussion about the insights obtained from this particular case study including considerations about the generality of the approach.||0||0|
|WiSyMon: managing systems monitoring information in semantic Wikis||Frank Kleiner
Sven F. Brinkmann
|Wikis Semánticos||Jesús Tramullas
|Codina, L., Marcos, M.C., Pedraza, R. (coords.) Web semántica y sistemas de información documental. Gijón: Trea||Spanish||2009||0||0|
|A semantic wiki on cooperation in public administration||Krabina B.||CEUR Workshop Proceedings||English||2008||Authorities cooperate in various ways. The Web portal www. verwaltungskooperation.at aims to share knowledge on collaboration projects. A semantic wiki approach was used to facilitate best practice documentation with Semantic Web and Web 2.0 technology.||0||0|
|A study of ontology convergence in a Semantic Wiki||Chrysovalanto Kousetti
|WikiSym 2008 - The 4th International Symposium on Wikis, Proceedings||English||2008||Semantic Wikis propose a combination of both easy collaboration and semantic expressivity; characteristics of the WikiWikiWeb and the Semantic Web respectively. In this paper we look to define and analyse the Semantic Wiki method, in order to explore the effect of different Semantic Wiki characteristics on the quality of the semantic networks authored within them. We look at a number of different Semantic Wiki implementations, including their semantic expressivity and usability. We focus on support for ontology creation, and perform an evaluation on the effect of type suggestion tools on ontology convergence within a seeded and unseeded Wiki (using Semantic MediaWiki and our own MOCA extension). We find that seeding a Wiki with typed pages and links has a strong effect on the quality of the emerging structure and that convergence tools have the potential to replicate that effect with an unseeded Wiki, but that they have limited impact on the reuse of elements from the evolving ontology.||0||0|
|AceWiki: Collaborative ontology management in controlled natural language||Kuhn T.||CEUR Workshop Proceedings||English||2008||AceWiki is a prototype that shows how a semantic wiki using controlled natural language - Attempto Controlled English (ACE) in our case - can make ontology management easy for everybody. Sentences in ACE can automatically be translated into first-order logic, OWL, or SWRL. AceWiki integrates the OWL reasoner Pellet and ensures that the ontology is always consistent. Previous results have shown that people with no background in logic are able to add formal knowledge to AceWiki without being instructed or trained in advance.||0||0|
|Collaborative enterprise integrated modelling||Chiara Ghidini
|CEUR Workshop Proceedings||English||2008||Enterprise modelling focuses on the construction of a structured description, the so-called enterprise model, which represents (a subset of) the aspects relevant to the activity of an enterprise. Nowadays, knowledge engineering provides sophisticated methodologies and tools to support enterprise modelling and production of formal enterprise models. Recently, it has become clearer that enterprise modelling is a collaborative activity; however, most of the modelling techniques and tools devised so far do not consider this collaborative dimension properly. Therefore, we envisage the necessity to expand, extend, and generalize current methodologies in order to exploit this new dimension. In this line, we propose a flexible framework for enterprise modelling that supports an agile collaboration between the actors involved in the modelling activities, without sticking to a pre-defined protocol of interaction. This methodology produces an integrated enterprise model model that, not only contains a structural (formal) description, but it also includes more informal and semi-formal information. We also present a tool, based on a semantic wiki, that supports the proposed methodology.||0||0|
|Combining semantic wikis and controlled natural language||Kuhn T.||CEUR Workshop Proceedings||English||2008||We demonstrate AceWiki that is a semantic wiki using the controlled natural language Attempto Controlled English (ACE). The goal is to enable easy creation and modification of ontologies through the web. Texts in ACE can automatically be translated into first-order logic and other languages, for example OWL. Previous evaluation showed that ordinary people are able to use AceWiki without being instructed.||0||0|
|Documenting service-oriented architectures with ontobrowse semantic wiki||Happel H.-J.
|CEUR Workshop Proceedings||English||2008||Documenting and maintaining an enterprise-wide service-oriented architecture (SOA) causes a substantial management effort which should be addressed by intelligent, scalable solutions. A particular challenge is that business experts, developers and software architects take different perspectives on a SOA, which leads towards a scattering of architectural information throughout various formats and sources. Ontobrowse Semantic Wiki specifically addresses these issues by providing an ontology-based integration and documentation platform for architectural information. In this paper, we first identify the main issues arising from documentation and maintenance by introducing the case of an enterprise SOA in an insurance company. Then we give a detailed description of the Ontobrowse approach and its implementation. At last, we explain how ontologies, artifact mappings and architectural rules are created to support the Enterprise SOA case.||0||0|
|Extending the makna semanticwiki to support workflows||Dello K.
|CEUR Workshop Proceedings||English||2008||Semantic wikis combine the advantages introduced by the wiki principle with the potential of SemanticWeb technologies. However, there is still a very limited support for coordination, collaboration and integration in current semantic wikis. In this paper, we present a solution for this through the integration of our Makna semantic wiki with a workflow system. The resulting implementation is presented and an example given how this integration leads to better coordination, collaboration and integration support.||0||0|
|Flyspeck in a semantic wiki collaborating on a large scale formalization of the kepler conjecture||Christoph Lange
|CEUR Workshop Proceedings||English||2008||Semantic wikis have been successfully applied to many problems in knowledge management and collaborative authoring. They are particularly appropriate for scientific and mathematical collaboration. In previous work we described an ontology for mathematical knowledge based on the semantic markup language OMDoc and a semantic wiki using both. We are now evaluating these technologies in concrete application scenarios. In this paper we evaluate the applicability of our infrastructure to mathematical knowledge management by focusing on the Flyspeck project, a formalization of Thomas Hales' proof of the Kepler Conjecture. After describing the Flyspeck project and its requirements in detail, we evaluate the applicability of two wiki prototypes to Flyspeck, one based on Semantic MediaWiki and another on our mathematics-specific semantic wiki SWiM.||0||0|
|Interleaving Ontology Mapping for Online Semantic Annotation on Semantic Wiki||Jinhyun Ahn
Jason J. Jung
|KiWi - Knowledge in a wiki||Sebastian Schaffert
|CEUR Workshop Proceedings||English||2008||The objective of the project KiWi is to develop an advanced knowledge management system (the "KiWi system") based on a semantic wiki. This poster describes the KiWi project, its technical approach, goals and the two use-cases which will be covered by the KiWi-System.||0||0|
|Managing requirements knowledge (MaRK'08)||Maalej W.
|2008 1st International Workshop on Managing Requirements Knowledge, MARK'08||English||2008||MaRK'08 focuses on potentials and benefits of lightweight knowledge management approaches, such as ontology-based annotation, Semantic Wikis and rationale management techniques, applied to requirements engineering. Methodologies, processes and tools for capturing, externalizing, sharing and reusing of knowledge in (distributed) requirements engineering processes are discussed. Furthermore, the workshop is an interactive exchange platform between the knowledge management community, requirements engineering community and industrial practitioners. This proceeding includes selected and refereed contributions.||0||0|
|Mathematical semantic markup in a wiki: The roles of symbols and notations||Christoph Lange||CEUR Workshop Proceedings||English||2008||We present semantic markup as a way to exploit the semantics of mathematics in a wiki. Semantic markup makes mathematical knowledge machine-processable and thus allows for a multitude of useful applications. But as it is hard to read and write for humans, an editor needs to understand its inherent semantics and allow for a humanreadable presentation. The semantic wiki SWiM offers this support for the OpenMath markup language. Using OpenMath as an example, we present a way of integrating a semantic markup language into a semantic wiki using a document ontology and extracting RDF triples from XML markup. As a benefit gained from making semantics explicit, we show how SWiM supports the collaborative editing of definitions of mathematical symbols and their visual appearance.||0||0|
|Next-generation wikis: What users expect; How RDF helps||Rauschmayer A.||CEUR Workshop Proceedings||English||2008||Even though wikis helped start the web 2.0 phenomenon, they currently run the risk of becoming outdated. In order to find out what aspects of wikis will survive and how wikis might need to evolve, the author held a survey among wiki users. This paper argues that adding RDF integration to wikis helps meet the requirements implicitly contained in the answers of that survey. Technical details are given by looking at the semantic wiki Hyena.||0||0|
|On Supporting HCOME-3O Ontology Argumentation Using Semantic Wiki Technology||Konstantinos Kotis||OTM||English||2008||0||0|
|SWOOKI: A peer-to-peer semantic wiki||Charbel Rahhal
|CEUR Workshop Proceedings||English||2008||In this paper, we propose to combine the advantages of semantic wikis and P2P wikis in order to design a peer-to-peer semantic wiki. The main challenge is how to merge wiki pages that embed semantic annotations. Merging algorithms used in P2P wiki systems have been designed for linear text and not for semantic data. In this paper, we evaluate two optimistic replication algorithms to build a P2P semantic wiki.||0||0|
|Semantic Wiki Where Human and Agents Collaborate||Kensaku Kawamoto
|Towards an interlinked semantic wiki farm||Alexandre Passant
|CEUR Workshop Proceedings||English||2008||This paper details the main concepts and the architecture of UfoWiki, a semantic wiki farm - i.e. a server of wikis - that uses form-based templates to produce ontology-based knowledge. Moreover, the system allows different wikis to share and interlink ontology instance between each other, so that knowledge can be produced by different and distinct communities in a distributed but collaborative way.||0||0|
|Towards social webtops using semantic Wiki||Jie Bao
|CEUR Workshop Proceedings||English||2008||The fast-growing Web 2.0 applications promote explicit social structure and explosive data on the Web, and enable the realization of social webtops, where users use web applications to collaboratively organize and share online data. In this work, we show that semantic wiki technologies are suitable for building a social webtop. We also identify two key issues in realizing social webtop applications on semantic wiki and present our initial investigation with live demos: (i) popular concept modeling mechanisms used by webtop applications can be supported by semantic wiki; and (ii) provenance-aware data personalization mechanisms can be added as semantic wiki extensions to better support collaborative data management on a webtop.||0||0|
|Unifying Semantic Wikis and semantic Web applications||Da Silva M.R.
|CEUR Workshop Proceedings||English||2008||Many Semantic Wiki Engines have been developed in response to a semi-structured domain of application. Nevertheless these engines take very few advantages of the structured model on their viewing and editing interfaces. In this paper we present HyperDEWiki implementation where we combine Semantic Wiki and model-based Semantic Web Application allowing specialized interfaces and navigation. The tool is also intended to support domain ontology evolution.||0||0|
|Using attention and context information for annotations in a semantic wiki||Malte Kiesel
Van Elst L.
|CEUR Workshop Proceedings||English||2008||For document-centric work, meta-information in form of annotations has proven useful to enhance search and other retrieval tasks. Since creating annotations manually is a lot of work, it is desirable to also tap less obtrusive sources of meta-information such as the user's context (projects the user is working on, currently relevant topics, etc.) and attention information (what text passages did the user read?). The Mymory project uses the semantic wiki Kaukolu that allows storing attention and context information in addition to standard semantic wiki metadata. Attention annotations are generated automatically using an eyetracker. All types of annotations get enriched with contextual information gathered by a context elicitation component. In this paper, an overview of the Mymory system is presented.||0||0|
|Using semantic wikis for user information management in e-business||Lu Q.
|2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop Proceedings, KAM 2008||English||2008||The application of semantic wikis for user information management in e-business for purpose of web personalization is investigated in this paper. It presents an enhanced semantic wiki, named UIMwiki, aiming to combine user annotation and artificial psychology in a semantic wiki system. Wiki users in UIMwiki are classified into three groups: end users, expert users and ontologists. There are two ways to maintain user information in UIMwiki for an end user: executing a cognitive query or adding semantic annotations. A user model based on artificial psychology can be built from the cognitive query files by a user model generator. The user model generator gives user model suggestions based on psychology knowledge. The Wiki generator and semantic annotation are also described. UIMwiki considers user's preference information or implicit knowledge in the annotation process, and it makes the personalization more effectively too.||0||0|
|BOWiki - A collaborative annotation and ontology curation framework||Michael Backhaus
|CEUR Workshop Proceedings||English||2007||As the amount of data being generated in biology has increased, a major challenge has been how to store and represent this data in a way that makes it easily accessible to researchers from diverse domains. Understanding the relationship between genotype and phenotype is a major focus of biological research. Various approaches to providing the link between genes and their functions have been undertaken - most require significant and dedicated manual curation. Advances in web technologies make possible an alternative route for the construction of such knowledge bases - large-scale community collaboration. We describe here a system, the BOWiki, for the collaborative annotation of gene information. We argue that a semantic wiki provides the functionality required for this project since this can capitalize on the existing representations in biological ontologies. We describe our implementation and show how formal ontologies could be used to increase the usability of the software through type-checking and automatic reasoning.||0||0|
|Creating and managing ontology data on the web: A semantic wiki approach||Chao Wang
|Lecture Notes in Computer Science||English||2007||The creation of ontology data on web sites and proper management of them would help the growth of the semantic web. This paper proposes a semantic wiki approach to tackle this issue. Desirable functions that a semantic wiki approach should implement to offer a better solution to this issue are discussed. Along with that, some key problems such as usability, data reliability and data quality are identified and analyzed. Based on that, a system framework is presented to show how such functions are designed. These functions are further explained along with the description of our implemented prototype system. By addressing the identified key problems, our semantic wiki approach is expected to be able to create and manage web ontology data more effectively.||0||0|
|Onto wiki: A tool for social, semantic collaboration||Sören Auer
|CEUR Workshop Proceedings||English||2007||We present OntoWiki, a tool providing support for agile, distributed knowledge engineering scenarios. OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWYG for text documents. It fosters social collaboration aspects by keeping track of changes, allowing comments and discussion on every single part of a knowledge base, enabling to rate and measure the popularity of content and honoring the activity of users. OntoWiki enhances the browsing and retrieval by offering semantic enhanced search strategies. All these techniques are applied with the ultimate goal of decreasing the entrance barrier for projects and domain experts to collaborate using semantic technologies. In the spirit of the Web 2.0 OntoWiki implements an "architecture of participation" that allows users to add value to the application as they use it. It is available as open-source software and a demonstration platform can be accessed at http://3ba.se.||0||0|
|Ontobrowse: A semantic wiki for sharing knowledge about software architectures||Happel H.-J.
|19th International Conference on Software Engineering and Knowledge Engineering, SEKE 2007||English||2007||The development and maintenance of a software architecture involves various stakeholders with different interests. While developers primarily require technical support and guidance for their implementation tasks, architects need means for analysis and documentation. We argue that most approaches and tools insufficiently support the requirements of both groups appropriately, leading to a scattering of architectural information into different information spaces. To resolve this problem we propose Ontobrowse - A lightweight solution which is based upon ontologies and the recent paradigm of semantic wikis. Ontobrowse allows the combination of informal with more formal documentation together with the integration of asserted knowledge from external specification resources. The system architecture and prototypical implementation are described. To illustrate the benefits of our approach, we introduce the case of documenting service-oriented architectures in an enterprise setting. Copyright||0||0|
|Using a Semantic Wiki in communities of practice||El Ghali A.
|CEUR Workshop Proceedings||English||2007||In this paper, we present a new wiki engine: SweetWiki, offering the capabilities of a wiki together with some knowledge management features. And we give preliminary results of its use by some Palette CoPs.||0||0|
|Viral knowledge acquisition through social networks||Soshnikov D.
|Lecture Notes in Computer Science||English||2007||In this paper, we present an approach for semi-structured knowledge acquisition through the concept of Structured Semantic Wiki, based on social virus spreading in the internet-based community. This approach allows harnessing collective intelligence of a community and inducing structured annotated knowledgebase of community relations by viral-driven actions of community participants.||0||0|
|A semantic wiki for mathematical knowledge management||Christoph Lange
|CEUR Workshop Proceedings||English||2006||We propose the architecture of a semantic wiki for collaboratively building, editing and browsing a mathematical knowledge base. Its hyperlinked pages, containing mathematical theories, are stored as OMDoc, a markup format for mathematical knowledge representation. Our long-term objective is to develop a software that, on the one hand, facilitates the creation of a shared, public collection of mathematical knowledge (e.g. for education). On the other hand the software shall serve work groups of mathematicians as a tool for collaborative development of new theories.||0||0|
|A wiki as an extensible RDF presentation engine||Rauschmayer A.
|CEUR Workshop Proceedings||English||2006||Semantic wikis  establish the role of wikis as integrators of structured and semi-structured data. In this paper, we present Wikked, which is a semantic wiki turned inside out: it is a wiki engine that is embedded in the generic RDF editor Hyena. That is, Hyena edits (structured) RDF and leaves it to Wikked to display (semi-structured) wiki pages stored in RDF nodes. Wiki text has a clearly defined core syntax, while traditional wiki syntax is regarded as syntactic sugar. It is thus easy to convert Wikked pages to various output formats such as HTML and LaTeX. Wikked's built-in functions for presenting RDF data and for invoking Hyena functionality endow it with the ability to define simple custom user interfaces to RDF data.||0||0|
|Access control on RDF triple stores from a Semantic Wiki perspective||Dietzold S.
|CEUR Workshop Proceedings||English||2006||RDF triple stores are used to store and query large RDF models. Semantic Web applications built on top of such triple stores require methods allowing high-performance access control not restricted to per model directives. For the growing number of lightweight, scripted Semantic Web applications it is crucial to rely on access control methods which maintain a balance between expressiveness, simplicity and scalability. Starting from a Semantic Wiki application scenario we collect requirements for useful access control methods provided by the triple store. We derive a basic model for triple store access according to these requirements and review existing approaches in the field of policy management with regard to the requirements. Finally, a lightweight access control framework based on rule-controlled query filters is described.||0||0|
|Bringing the "wiki-way" to the semantic web with rhizome||Adam Souzis||CEUR Workshop Proceedings||English||2006||The Wiki and the Semantic Web can be compared as two different approaches to capturing knowledge, where the former trades away precise, explicit, and internally consistent semantics for speed and simplicity. Any attempt to bridge these two approaches has to either somehow reconcile these trades-off or make compromises one way or the other. This paper describes how Rhizome, an open source application framework for developing "Semantic Wiki" applications, attempts to bridge these approaches. Rhizome includes a text formatting language called ZML whose syntax is similar to text formatting languages found in most Wikis but with enhancement to make it easy for users to express explicit and arbitrary semantics. Rhizome relies on " shredding", a flexible framework for specifying rules for characterizing semi-structured content with RDF and providing an ontology that can precisely describe the relationship between the source content and the resulting statements.||0||0|
|Graphingwiki - A semantic wiki extension for visualising and inferring protocol dependency||Juhani Eronen
|CEUR Workshop Proceedings||English||2006||This paper introduces the Graphingwiki extension toMoinMoin Wiki. Graphingwiki enables the deepened analysis of the Wiki data by augmenting it with semantic data in a simple, practical and easy-to-use manner. Visualisation tools are used to clarify the resulting body of knowledge so that only the data essential for an usage scenario is displayed. Logic inference rules can be applied to the data to perform automated reasoning based on the data. Perceiving dependencies among network protocols presents an example use case of the framework. The use case was applied in practice in mapping effects of software vulnerabilities on critical infrastructures.||0||0|
|Graphingwiki - a Semantic Wiki extension for visualising and inferring protocol dependency||Juhani Eronen
|SemWiki||English||2006||This paper introduces the Graphingwiki extension to MoinMoin Wiki. Graphingwiki enables the deepened analysis of the Wiki data by augmenting it with semantic data in a simple, practical and easy-to-use manner. Visualisation tools are used to clarify the resulting body of knowledge so that only the data essential for an usage scenario is displayed. Logic inference rules can be applied to the data to perform automated reasoning based on the data. Perceiving dependencies among network protocols presents an example use case of the framework. The use case was applied in practice in mapping effects of software vulnerabilities on critical infrastructures.||8||0|
|How semantics make better wikis||Eyal Oren
John G. Breslin
|World Wide Web||English||2006||0||0|
|Kaukolu: Hub of the semantic corporate intranet||Malte Kiesel||CEUR Workshop Proceedings||English||2006||Due to their low entry barrier, easy deployment, and simple yet powerful features, wikis have gained popularity for agile knowledge management in communities of almost all sizes. Semantic wikis strive to give entered information more structure in order to allow automatic processing of the wiki's contents. This facilitates enhanced navigation and search in the wiki itself as well as simple reuse of information in external applications or for generating different views on the same information. This makes semantic wikis especially interesting for corporate intranet deployment, implementing the Semantic Intranet. In this paper, we will have a look at Kaukolu, an open source semantic wiki prototype, being deployed in a corporate intranet. External applications use information authored in Kaukolu, effectively forming a cluster of applications interacting and sharing data.||0||0|
|Learning with semantic wikis||Sebastian Schaffert
|CEUR Workshop Proceedings||English||2006||The knowledge society requires life-long learning and flexible learning environments that allow learners to learn whenever they have time, whereever they are, and according to their own needs and background knowledge. In this article, we investigate how Semantic Wikis - a combination of Wiki and Semantic Web technology - can support learners in such flexible learning environments. We first summarise common features of Wikis and Semantic Wikis and then describe different aspects of Semantic Wikis for learning. We also introduce our Semantic Wiki system called IkeWiki and show why it is particularly promising as a learning tool.||0||1|
|Manufacturing feature library as a manufacturing information management system for process planning||Hendry Muljadi
|36th International Conference on Computers and Industrial Engineering, ICC and IE 2006||English||2006||A manufacturing feature can be defined simply as a geometric shape and its manufacturing information to create the shape. For the generation of process plans in a manufacturing feature-based process planning system, it is necessary to develop a manufacturing feature library that consists of predefined manufacturing features and the manufacturing information to create the shape of the features. In other words, manufacturing feature library plays an important role for the extraction of manufacturing features with their proper manufacturing information. However, to manage the manufacturing information flexibly, it is important to build a manufacturing feature library that is easy to manage. In this paper, the implementation of Semantic Wiki for the development of the manufacturing feature library as the manufacturing information management system is proposed.||0||0|
|On integrating a semantic wiki in a knowledge management system||De Paoli F.
|CEUR Workshop Proceedings||English||2006||The use of knowledge management systems is often hampered by the heavy overload for publishing information. In particular, uploading a document and then profiling it with a set of meta-data and keywords is a tedious and time-consuming activity. Therefore, one of the main goals for such systems should be to make publishing of explicit knowledge as natural as possible. In the project described in this paper, we exploit a semantic wiki editor to support document publishing by means of textual descriptions augmented by ontology-defined annotations. Such annotations are then managed as entries in metadata profiles. Moreover, we can publish semantic-wiki-based documents that do not require any further activity to be profiled and included in a knowledge base as they are self-describing. The semantic wiki project is part of a collaborative knowledge management system that has been developed to support project teams and communities of interest.||0||0|
|Semantic Wiki as a lightweight knowledge management system||Hendry Muljadi
|Lecture Notes in Computer Science||English||2006||Since its birth in 1995, Wild has become more and more popular. This paper presents a Semantic Wiki, a Wiki extended to include the ideas of Semantic Web. The proposed Semantic Wiki uses a simple Wiki syntax to write labeled links which represent RDF triples. By enabling the writing of labeled links, Semantic Wiki may provide an easy-to-use and flexible environment for an integrated management of content and metadata, so that Semantic Wiki may be used as a lightweight knowledge management system.||0||0|
|Semantic wiki as a lightweight knowledge management system||Hendry Muljadi
|Semantic wikis for personal knowledge management||Eyal Oren
|Lecture Notes in Computer Science||English||2006||Wikis are becoming popular knowledge management tools. Analysing knowledge management requirements, we observe that wikis do not fully support structured search and knowledge reuse. We show how Semantic wikis address the requirements and present a general architecture. We introduce our SemperWiki prototype which offers advanced information access and knowledge reuse.||0||0|
|SweetWiki: Semantic web enabled technologies in wiki||Michel Buffa
|Proceedings of WikiSym'06 - 2006 International Symposium on Wikis||English||2006||Wikis are social web sites enabling a potentially large number of participants to modify any page or create a new page using their web browser. As they grow, wikis may suffer from a number of problems (anarchical structure, aging navigation paths, etc.). We believe that semantic wikis can improve navigation and search. In SweetWiki we investigate the use of semantic web technologies to support and ease the lifecycle of the wiki. The very model of wikis was declaratively described: an OWL schema captures concepts such as wiki word, wiki page, forward and backward link, author, etc. This ontology is then exploited by an embedded semantic search engine (Corese). In addition, SweetWiki integrates a standard WYSIWYG editor (Kupu) that we extended to support semantic annotation following the "social tagging": when editing a page, the user can freely enter some keywords and an auto-completion mechanism proposes existing keywords by issuing queries to identify existing concepts with compatible labels. Thus tagging is both easy (keyword-like) and motivating (real time display of the number of related pages) and concepts are collected as in folksonomies. To maintain and reengineer the folksonomy, we reused a web-based editor available in the underlying semantic web server to edit semantic web ontologies and annotations. Unlike in other wikis, pages are stored directly in XHTML ready to be served and semantic annotations are embedded in the pages themselves using RDFa. If someone sends or copies a page, the annotations follow it, and if an application crawls the wiki site it can extract the metadata and reuse them. In this paper we motivate our approach and explain each one of these design choices. Copyright 2006 ACM.||0||0|
|Towards Wikis as Semantic Hypermedia||Robert Tolksdorf
Elena Paslaru Bontas Simperl
|Towards a semantic wiki-based japanese biodictionary||Hendry Muljadi
|CEUR Workshop Proceedings||English||2006||This paper describes an on-going project to develop and maintain a web-based Japanese Biodictionary within a Semantic Wiki environment. For the development of the dictionary, MediaWiki is extended to enable the writing of labeled links that represent RDF triples. The extension enables Semantic Wiki to provide not only collaborative environment for experts in various biology fields to create and edit the dictionary, but also the navigation support to manage relations between terms. Using a simple wiki syntax, people can develop and maintain the dictionary visually and easily.||0||0|
|Towards a wiki interchange format (WIF) opening semantic wiki content and metadata||Volkel M.
|CEUR Workshop Proceedings||English||2006||Wikis tend to be used more and more in world-wide, intranet and increasingly even in personal settings. Current wikis are data islands. They are open for everyone to contribute, but closed for machines and automation. In this paper we define a wiki interchange format (WIF) that allows data exchange between wikis and related tools. Different from other approaches, we also tackle the problem of page content and annotations. The linking from formal annotations to parts of a structured text is analysed and described.||0||0|
|Wiki and semantics: Panacea, contradiction in terms, pressure for innovation?: Some experiments and tracks towards intelligence amplifiers||Rohmer J.||CEUR Workshop Proceedings||English||2006||This paper examines the relative characteristics of wiki principles and of semantic systems. It first stresses some oppositions between these two approaches, and exposes the challenge of their reconciliation. We then make a detailed description of Ideliance, a " pure" semantic tool, and we set criteria to compare several existing semantic wiki systems. After a critical look at some of their features, we propose precise directions for cross-fertilisation of semantics and wikis, advocating for solid, long-term foundations.||0||0|
|Ylvi - Multimedia-izing the semantic wiki||Niko Popitsch
|CEUR Workshop Proceedings||English||2006||Semantic and semi-structured wiki implementations, which extend traditional, purely string-based wikis by adding machine-processable metadata, suffer from a lack of support for media management. Currently, it is difficult to maintain semantically rich metadata for both wiki pages and associated media assets; media management functionalities are cumbersome or missing. With Ylvi, a semantic wiki based on the METIS multimedia framework, we combine the advantages of structured, type-/attribute-based media management and the open, relatively unstructured wiki approach. By representing wiki pages as METIS objects, we can apply sophisticated media management features to the wiki domain and provide an extensible, multimedia-enabled semantic wiki.||0||0|
|Towards a semantic wiki experience - Desktop integration and interactivity in WikSAR||Aumueller D.
|CEUR Workshop Proceedings||English||2005||Common Wiki systems such as MediaWiki lack semantic annotations. WikSAR (Semantic Authoring and Retrieval within a Wiki), a prototype of a semantic Wiki, offers effortless semantic authoring. Instant gratification of users is achieved by context aware means of navigation, interactive graph visualisation of the emerging ontology, as well as semantic retrieval possibilities. Embedding queries into Wiki pages creates views (as dependant collections) on the information space. Desktop integration includes accessing dates (e.g. reminders) entered in the Wiki via local calendar applications, maintaining bookmarks, and collecting web quotes within the Wiki. Approaches to reference documents on the local file system are sketched out, as well as an enhancement of the Wiki interface to suggest appropriate semantic annotations to the user.||0||1|