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template is included as keyword or extra keyword in 0 datasets, 0 tools and 8 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Crowdsourcing semantic content: A model and two applications||Angelo Di Iorio
|3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings||English||2010||While the original design of wikis was mainly focused on a completely open free-form text model, semantic wikis have since moved towards a more structured model for editing: users are driven to create ontological data in addition to text by using ad-hoc editing interfaces. This paper introduces OWiki, a framework for creating ontological content within not-natively-semantic wikis. Ontology-driven forms and templates are the key concepts of the system, that allows even inexpert users to create consistent semantic data with little effort. Multiple and very different instances of OWiki are presented here. The expressive power and flexibility of OWiki proved to be the right trade-off to deploy the authoring environments for such very different domains, ensuring at the same time editing freedom and semantic data consistency.||0||0|
|Metadata repository management using the MediaWiki interoperability framework a case study: The keytonature project||Veja C.F.M.
|EChallenges e-2010 Conference||English||2010||In the KeyToNature project a user-centred and collaborative approach for metadata repository management was developed. KeyToNature is an EU project to enhance the knowledge of biodiversity by improving the availability of digital and non-digital media along with digital tools for the identification of living organisms throughout Europe. To improve the ability to search and access information, metadata are provided and integrated into a metadata repository. This paper presents a method utilizing web-based MediaWiki system as part of a low-tech interoperability and repository layer for data providers, end users, developers, and project partners. Because the level of technological expertise of the data providers varies greatly, a solution accessible for non-expert data providers was developed. The main features of this method are the automatic metadata repository management, and an ontological approach with ingestion workflows integrated into MediaWiki collaborative framework. Extensive user testing shows performance advantages of the method and attests usefulness in the application area. This practice-oriented method can be adopted by other projects aiming at collaborative knowledge acquisition and automatic metadata repository management, regardless of domain of discourse. Copyright||0||0|
|Semantic MediaWiki interoperability framework from a semantic social software perspective||Cornelia Veja
|2010 9th International Symposium on Electronics and Telecommunications, ISETC'10 - Conference Proceedings||English||2010||This paper presents two collaborative Social-Software-driven approaches for the interoperability of multimedia resources used in KeyToNature project. The first approach, using MediaWiki as a low level interoperability framework is presented in our previous works. The second one, Semantic MediaWiki interoperability framework for multimedia resources is presented in this paper, and is still in progress. We are arguing that different approaches are needed, depending on the context and intention of multimedia resource use.||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|
|Customized edit interfaces for wikis via semantic annotations||Angelo Di Iorio
|CEUR Workshop Proceedings||English||2009||Authoring support for semantic annotations represent the wiki way of the Semantic Web, ultimately leading to the wiki version of the Semantic Web's eternal dilemma: why should authors correctly annotate their content? The obvious solution is to make the ratio between the needed effort and the acquired advantages as small as possible. Two are, at least, the specificities that set wikis apart from other Web-accessible content in this respect: social aspects (wikis are often the expression of a community) and technical issues (wikis are edited "on-line"). Being related to a community, wikis are intrinsically associated to the model of knowledge of that community, making the relation between wiki content and ontologies the result of a natural process. Being edited on-line, wikis can benefit from a synergy of Web technologies that support all the information sharing process, from authoring to delivery. In this paper we present an approach to reduce the authoring effort by providing ontology-based tools to integrate models of knowledge with authoring-support technologies, using a functional approach to content fragment creation that plays nicely with the "wiki way" of managing information.||0||0|
|What have innsbruck and Leipzig in common? Extracting semantics from wiki content||Sören Auer
|Lecture Notes in Computer Science||English||2007||Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.||0||0|
|Wiki Templates - Adding Structure Support to Wikis on Demand||Anja Haake
|WikiSym||English||2005||This paper introduces the concept of wiki templates that allows end-users to determine the structure and appearance of a wiki page. In particular, this better supports editing of structured wiki pages. Wiki templates may be adapted (defined and redefined) by end-users. They may be applied if found helpful, but need not to be used, thus maintaining the simple wiki editing way. In addition, we introduce a methodology to reuse wiki templates among different wiki instances. We show how wiki templates have been successfully used in real-world applications in our CURE wiki engine.||1||0|
|Wiki-templates adding structure support to wikis on demand||Anja Haake
|WikiSym 2005 - Conference Proceedings of the 2005 International Symposium on Wikis||English||2005||This paper introduces the concept of wiki templates that allows end-users to determine the structure and appearance of a wiki page. In particular, this better supports editing of structured wiki pages. Wiki templates may be adapted (defined and redefined) by end-users. They may be applied if found helpful, but need not to be used, thus maintaining the simple wiki editing way. In addition, we introduce a methodology to reuse wiki templates among different wiki instances. We show how wiki templates have been successfully used in real-world applications in our CURE wiki engine. Copyright 2005 ACM.||0||0|