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This is a list of 3 events celebrated and 327 publications published in 2009.


Name City Country DateThis property is a special property in this wiki.
RecentChangesCamp 2009 Portland United States 20 February 2009
WikiSym 2009 Orlando United States 25 October 2009
Wikimania 2009 Buenos Aires Argentina 26 August 2009


Title Author(s) Keyword(s) Published in Language Abstract R C
"All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc Samuel Sarjant
Catherine Legg
Michael Robinson
Olena Medelyan
Web mining
WI-IAT English In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have shown that manual ontology-building is not practicable. The recent explosion of free user-supplied knowledge on the Web has led to great strides in automatic ontology-building, but quality-control is still a major issue. Ideally one should automatically build onto an already intelligent base. We suggest that the long-running Cyc project is able to assist here. We describe methods used to add 35K new concepts mined from Wikipedia to collections in ResearchCyc entirely automatically. Evaluation with 22 human subjects shows high precision both for the new concepts’ categorization, and their assignment as individuals or collections. Most importantly we show how Cyc itself can be leveraged for ontological quality control by ‘feeding’ it assertions one by one, enabling it to reject those that contradict its other knowledge. 0 0
"Language Is the Skin of My Thought": Integrating Wikipedia and AI to Support a Guillotine Player Pasquale Lops
Pierpaolo Basile
Marco Gemmis
Giovanni Semeraro
English 0 0
"edit this page": the socio-technological infrastructure of a wikipedia article Shaun P. Slattery Activity theory
SIGDOC English 0 0
3DWiki: The 3D Wiki Engine Jacek Jankowski
Marek Jozwowicz
Yolanda Cobos
Bill McDaniel
Stefan Decker
3D Wiki
3D hypermedia
3D web
WikiSym English 0 0
A Brief Review of Studies of Wikipedia in Peer-Reviewed Journals Chitu Okoli Third International Conference on Digital Society English Since its establishment in 2001, Wikipedia, "the free encyclopedia that anyone can edit" has become a cultural icon of the unlimited possibilities of the World Wide Web. Thus, it has become a serious subject of scholarly study to objectively and rigorously understand it as a phenomenon. This paper reviews studies of Wikipedia that have been published in peer-reviewed journals. Among the wealth of studies reviewed, major sub-streams of research covered include: how and why Wikipedia works; assessments of the reliability of its content; using it as a data source for various studies; and applications of Wikipedia in different domains of endeavour. 25 1
A Composite Calculation for Author Activity in Wikis: Accuracy Needed Claudia Muller-Birn
Janette Lehmann
Sabina Jeschke
WI-IAT English 0 0
A Jury of Your Peers: Quality, Experience and Ownership in Wikipedia Aaron Halfaker
Aniket Kittur
Robert E. Kraut
John Riedl
Peer review
WikiSym English Wikipedia is a highly successful example of what mass collaboration in an informal peer review system can accomplish. In this paper, we examine the role that the quality of the contributions, the experience of the contributors and the ownership of the content play in the decisions over which contributions become part of Wikipedia and which ones are rejected by the community. We introduce and justify a versatile metric for automatically measuring the quality of a contribution. We find little evidence that experience helps contributors avoid rejection. In fact, as they gain experience, contributors are even more likely to have their work rejected. We also find strong evidence of ownership behaviors in practice despite the fact that ownership of content is discouraged within Wikipedia. 0 3
A Practical Model for Conceptual Comparison Using a Wiki David Webster
Jie Xu
Darren Mundy
Paul Warren
Conceptual comparison
Conceptual context
Contextual relations
Semantic relevance
ICALT English 0 0
A Semantic Wiki Based Light-Weight Web Application Model Jie Bao
Li Ding
Rui Huang
Paul R. Smart
Dave Braines
Gareth Jones
ASWC English 0 0
A Wiki: one tool for communication, collaboration, and collection of documentation Shawn M. Plummer
Laurie J. Fox
SUNY Geneseo
SIGUCCS English 0 0
A aprovação de sentidos enunciados na "Wikipédia: a enciclopédia livre" Paulo Henrique Souto Maior Serrano Anais do SILEL Portuguese 2 0
A community-curated consensual annotation that is continuously updated: the Bacillus subtilis centred wiki SubtiWiki Lope A. Flórez
Sebastian F. Roppel
Arne G. Schmeisky
Christoph R. Lammers
Jörg Stülke
Database : the journal of biological databases and curation English Bacillus subtilis is the model organism for Gram-positive bacteria, with a large amount of publications on all aspects of its biology. To facilitate genome annotation and the collection of comprehensive information on B. subtilis, we created SubtiWiki as a community-oriented annotation tool for information retrieval and continuous maintenance. The wiki is focused on the needs and requirements of scientists doing experimental work. This has implications for the design of the interface and for the layout of the individual pages. The pages can be accessed primarily by the gene designations. All pages have a similar flexible structure and provide links to related gene pages in SubtiWiki or to information in the World Wide Web. Each page gives comprehensive information on the gene, the encoded protein or RNA as well as information related to the current investigation of the gene/protein. The wiki has been seeded with information from key publications and from the most relevant general and B. subtilis-specific databases. We think that SubtiWiki might serve as an example for other scientific wikis that are devoted to the genes and proteins of one organism.Database URL: The wiki can be accessed at http://subtiwiki.uni-goettingen.de/ 0 0
A graph-based approach to mining multilingual word associations from wikipedia Zheng Ye
Xiangji Huang
Hongfei Lin
Association dictionary
SIGIR English 0 0
A nomadic wiki for Mobile Ad Hoc Networks Hoa Ha Duong
Isabelle Demeure
CTS English 0 0
A quantitative approach to the use of the Wikipedia Antonio J. Reinoso
Felipe Ortega
Jesús M. González-Barahona
Gregorio Robles
English This paper presents a quantitative study of the use of the Wikipedia system by its users (both readers and editors), with special focus on the identification of time and kind-of-use patterns, characterization of traffic and workload, and comparative analysis of different language editions. The basis of the study is the filtering and analysis of a large sample of the requests directed to the Wikimedia systems for six weeks, each in a month from November 2007 to April 2008. In particular, we have considered the twenty most frequently visited language editions of the Wikipedia, identifying for each access to any of them the corresponding namespace (sets of resources with uniform semantics), resource name (article names, for example) and action (editions, submissions, history reviews, save operations, etc.). The results found include the identification of weekly and daily patterns, and several correlations between several actions on the articles. In summary, the study shows an overall picture of how the most visited language editions of the Wikipedia are being accessed by their users. 0 0
A semantic MediaWiki-empowered terminology registry Qing Zou
Wei Fan
Knowledge organization systems
Metadata registry
Semantic wiki
Terminology registry
DCMI English 0 0
A spatial hypertext wiki for architectural knowledge management Proceedings - International Conference on Software Engineering English 0 0
A wiki as intranet: A critical analysis using the Delone and McLean model Online Information Review English 0 0
Amplifying Community Content Creation Using Mixed-Initiative Information Extraction Raphael Hoffmann
Saleema Amershi
Kayur Patel
Fei Wu
James Fogarty
Daniel S. Weld
English 0 0
An Enhanced Wiki for Requirements Engineering David de Almeida Ferreira
Alberto Manuel Rodrigues da Silva
Software Requirements
Software Engineering Tools and Methods
SEAA English 0 1
An architecture to support intelligent user interfaces for Wikis by means of Natural Language Processing Johannes Hoffart
Torsten Zesch
Iryna Gurevych
Content organization
Natural Language Processing
User interaction
WikiSym English 0 0
An empirical study of knowledge collaboration networks in virtual community: Based on wiki 2009 International Conference on Management Science and Engineering - 16th Annual Conference Proceedings, ICMSE 2009 English 0 0
An interactive semantic knowledge base unifying Wikipedia and HowNet Hongzhi Guo
Qingcai Chen
Lei Cui
Xiaolong Wang
Semantic analysis
Semantic knowledge base
ICICS English 0 0
Analysing Wikipedia and gold-standard corpora for NER training Joel Nothman
Tara Murphy
James R. Curran
EACL English 0 0
Analysis of community structure in Wikipedia Dmitry Lizorkin
Olena Medelyan
Maria Grineva
English We present the results of a community detection analysis of the Wikipedia graph. Distinct communities in Wikipedia contain semantically closely related articles. The central topic of a community can be identified using PageRank. Extracted communities can be organized hierarchically similar to manually created Wikipedia category structure. 0 0
Analyzing collaborative learning activities in wikis using social network analysis Saskia Janina Kepp
Heidemarie Schorr
Collaboration analysis
Social network analysis
CHI EA English 0 0
Annotating wikipedia articles with semantic tags for structured retrieval Saravadee Sae Tan
Tang Enya Kong
Gian Chand Sodhy
Semantic markup
Structured retrieval
SWSM English 0 0
Análisis de las contribuciones a un wiki para la evaluación web de competencias Juan Manuel Dodero-Beardo
Gregorio Rodríguez-Gómez
María S. Ibarra-Sáiz
Evaluación de competencias
Evaluación electrónica
Spanish El uso de wikis y aplicaciones web de autoría compartida es la expresión más actual de una forma de aprendizaje colaborativo donde se asigna a un grupo de estudiantes la elaboración de un documento donde aprendan a realizar análisis de un problema y compartirlos con los compañeros. Este trabajo parte de la hipótesis de que en el proceso de realización de dicho trabajo se ponen de manifiesto una serie de competencias entre los participantes. Para evaluar dichas competencias se describe un método de análisis gráfico que, analizando una serie de patrones propuestos sobre la contribución individual y grupal al wiki, pretende facilitar la detección de ciertas competencias genéricas. 4 2
Application of Wiki technology in literature retrieval of digital library 2009 Joint Conferences on Pervasive Computing, JCPC 2009 English 0 0
Articles as Assignments --- Modalities and Experiences of Wikipedia Use in University Courses Klaus Wannemacher Constructivist Learning
Information Com petency
Media Literacy
Teaching Strategies
Web 2.0
Web-Based Learning
ICWL English 0 0
Aspects to motivate users of a design engineering wiki to share their knowledge Proceedings of World Academy of Science, Engineering and Technology English 0 0
Assessing the quality of Wikipedia articles with lifecycle based metrics Thomas Wöhner
Ralf Peters
WikiSym English The main feature of the free online-encyclopedia Wikipedia is the wiki-tool, which allows viewers to edit the articles directly in the web browser. As a weakness of this openness for example the possibility of manipulation and vandalism cannot be ruled out, so that the quality of any given Wikipedia article is not guaranteed. Hence the automatic quality assessment has been becoming a high active research field. In this paper we offer new metrics for an efficient quality measurement. The metrics are based on the lifecycles of low and high quality articles, which refer to the changes of the persistent and transient contributions throughout the entire life span. 0 2
Augmenting Wiki System for Collaborative EFL Reading by Digital Pen Annotations Chih-Kai Chang Wiki
Collaborative learning
English as foreign language
Digital pen
ISUVR English 0 0
Auto-organização e processos editoriais na Wikipedia: uma análise à luz de Michel Debrun Carlos Frederico de Brito d’Andréa Anais Hipertexto 2009 Portuguese 8 0
Automated seeding of specialised wiki knowledgebases with BioKb Jonathan R. Manning
Ann Hedley
John J. Mullins
Donald R. Dunbar
English BACKGROUND: Wiki technology has become a ubiquitous mechanism for dissemination of information, and places strong emphasis on collaboration. We aimed to leverage wiki technology to allow small groups of researchers to collaborate around a specific domain, for example a biological pathway. Automatically gathered seed data could be modified by the group and enriched with domain specific information. RESULTS: We describe a software system, BioKb, implemented as a plugin for the TWiki engine, and designed to facilitate construction of a field-specific wiki containing collaborative and automatically generated content. Features of this system include: query of publicly available resources such as KEGG, iHOP and MeSH, to generate 'seed' content for topics; simple definition of structure for topics of different types via an administration page; and interactive incorporation of relevant PubMed references. An exemplar is shown for the use of this system, in the creation of the RAASWiki knowledgebase on the renin-angiotensin-aldosterone system (RAAS). RAASWiki has been seeded with data by use of BioKb, and will be the subject of ongoing development into an extensive knowledgebase on the RAAS. CONCLUSION: The BioKb system is available from http://www.bioinf.mvm.ed.ac.uk/twiki/bin/view/TWiki/BioKbPlugin as a plugin for the TWiki engine. 0 0
Automatic Content-based Categorization of Wikipedia Articles Zeno Gantner
Lars Schmidt-Thieme
English 0 0
Automatic quality assessment of content created collaboratively by web communities: a case study of Wikipedia Daniel H. Dalip
Marcos A. Gonçalves
Marco Cristo
Pável Calado
English The old dream of a universal repository containing all the human knowledge and culture is becoming possible through the Internet and the Web. Moreover, this is happening with the direct collaborative, participation of people. Wikipedia is a great example. It is an enormous repository of information with free access and edition, created by the community in a collaborative manner. However, this large amount of information, made available democratically and virtually without any control, raises questions about its relative quality. In this work we explore a significant number of quality indicators, some of them proposed by us and used here for the first time, and study their capability to assess the quality of Wikipedia articles. Furthermore, we explore machine learning techniques to combine these quality indicators into one single assessment judgment. Through experiments, we show that the most important quality indicators are the easiest ones to extract, namely, textual features related to length, structure and style. We were also able to determine which indicators did not contribute significantly to the quality assessment. These were, coincidentally, the most complex features, such as those based on link analysis. Finally, we compare our combination method with state-of-the-art solution and show significant improvements in terms of effective quality prediction. 0 2
Automatically generating Wikipedia articles: a structure-aware approach Christina Sauper
Regina Barzilay
ACL English 0 0
BOWiki: an ontology-based wiki for annotation of data and integration of knowledge in biology Robert Hoehndorf
Joshua Bacher
Michael Backhaus
Sergio Gregorio
Frank Loebe
Kay Prufer
Alexandr Uciteli
Johann Visagie
Heinrich Herre
Janet Kelso
English MOTIVATION:Ontology development and the annotation of biological data using ontologies are time-consuming exercises that currently require input from expert curators. Open, collaborative platforms for biological data annotation enable the wider scientific community to become involved in developing and maintaining such resources. However, this openness raises concerns regarding the quality and correctness of the information added to these knowledge bases. The combination of a collaborative web-based platform with logic-based approaches and Semantic Web technology can be used to address some of these challenges and concerns.RESULTS:We have developed the BOWiki, a web-based system that includes a biological core ontology. The core ontology provides background knowledge about biological types and relations. Against this background, an automated reasoner assesses the consistency of new information added to the knowledge base. The system provides a platform for research communities to integrate information and annotate data collaboratively.AVAILABILITY:The BOWiki and supplementary material is available at http://www.bowiki.net/. The source code is available under the GNU GPL from http://onto.eva.mpg.de/trac/BoWiki. 0 0
Bipartite networks of Wikipedia's articles and authors: a meso-level approach Rut Jesus
Martin Schwartz
Sune Lehmann
WikiSym English This exploratory study investigates the bipartite network of articles linked by common editors in Wikipedia, 'The Free Encyclopedia that Anyone Can Edit'. We use the articles in the categories (to depth three) of Physics and Philosophy and extract and focus on significant editors (at least 7 or 10 edits per each article). We construct a bipartite network, and from it, overlapping cliques of densely connected articles and editors. We cluster these densely connected cliques into larger modules to study examples of larger groups that display how volunteer editors flock around articles driven by interest, real-world controversies, or the result of coordination in WikiProjects. Our results confirm that topics aggregate editors; and show that highly coordinated efforts result in dense clusters. 0 1
Building a Networked Environment in Wikis: The Evolving Phases of Collaborative Learning in a Wikibook Project Hong Lin
Kathleen Kelsey
Journal of Educational Computing Research English Wikis, when used as an open editing tool, can have profound and subtle effects on students' collaborative learning process. Hailed as a collaborative learning and writing tool, many questions remain regarding the pedagogical impacts of using wikis in the classroom. Do students feel comfortable editing each others' wiki articles? Do students learn collaboratively and construct knowledge for the community? What challenges did they experience in a networked environment? This study addressed these questions using qualitative methods, including multiple semi-structured interviews and student reflective journals, for analysis. The findings challenge idealistic hypotheses that wiki work, without careful design and implementation, is naturally beneficial. It was also found that collaborative writing and learning were the exception rather than the norm among participants in the early stages of wiki work. It is recommended that instructors provide highly supportive learning experiences to teach students how to use wikis and how to work collaboratively when implementing wikis to maximize the benefits of this emerging tool. 16 0
Building a Text Classifier by a Keyword and Wikipedia Knowledge Qiang Qiu
Yang Zhang
Junping Zhu
Wei Qu
Text classification
Unlabeled document
ADMA English 0 0
Building a semantic virtual museum: from Wiki to semantic Wiki using named entity recognition Alain Plantec
Vincent Ribaud
Vasudeva Varma
English 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
CMIC@INEX 2008: Link-the-wiki track Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
CSIR at INEX 2008 link-the-wiki track Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
Capturing knowledge during a dynamically evolving R&D project: A particular application of wiki software International Journal of Knowledge, Culture and Change Management English 0 0
Classifying Tags using Open Content Resources Simon Overell
Börkur Sigurbjörnsson
Roelof van Zwol
English 0 0
Clustering Documents Using a Wikipedia-Based Concept Representation Anna Huang
David N. Milne
Eibe Frank
Ian H. Witten
English This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation by mapping the terms and phrases within documents to their corresponding articles (or concepts) in Wikipedia. We also developed a similarity measure that evaluates the semantic relatedness between concept sets for two documents. We test the concept-based representation and the similarity measure on two standard text document datasets. Empirical results show that although further optimizations could be performed, our approach already improves upon related techniques. 0 0
Colaboração, edição, transparência: desafios e possibilidades de uma wikificação do jornalismo Carlos Frederico de Brito d’Andréa Metamorfoses jornalísticas 2: a reconfiguração da forma Portuguese 0 5
Collaboration, editing, transparency: challenges and possibilities of a wikification of journalism Carlos Frederico de Brito d’Andréa Wiki-journalism
Collaborative journalism
Brazilian Journalism Research English This article discusses the possibilities and challenges of the incorporation of wikis in journalistic editorial offices, especially in the processes involving the drafting and editing of texts. The reflection takes into consideration a context marked by 1) continuous fragmented publication of information; 2) simplification and horizontal organization of journalistic routines, which directly impacts the figure of the editor (mainly in the media on the web); and 3) increasing public participation in the development of the news, with the mediation of professionals. “Wiki-journalism” practices on the Wikinews and Wikipedia sites and initiatives originating with print publications are presented and discussed, and based on them we distinguish two models, which differ in the degree of control of the process by the journalists. 9 0
Collaborative Ontology Construction Using Template-Based Wiki for Semantic Web Applications Sung-Kooc Lim
In-Young Ko
Collaborative Ontology Construction
Semantic wiki
ICCET English 0 0
Collaborative authoring of biomedical terminologies using a semantic Wiki. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium English 0 0
Collaborative web-publishing with a semantic wiki Studies in Computational Intelligence English 0 0
Collaborative wiki tagging Studies in Computational Intelligence English 0 0
Collective annotation of Wikipedia entities in web text Sayali Kulkarni
Amit Singh
Ganesh Ramakrishnan
Soumen Chakrabarti
English To take the first step beyond keyword-based search toward entity-based search, suitable token spans ("spots") on documents must be identified as references to real-world entities from an entity catalog. Several systems have been proposed to link spots on Web pages to entities in Wikipedia. They are largely based on local compatibility between the text around the spot and textual metadata associated with the entity. Two recent systems exploit inter-label dependencies, but in limited ways. We propose a general collective disambiguation approach. Our premise is that coherent documents refer to entities from one or a few related topics or domains. We give formulations for the trade-off between local spot-to-entity compatibility and measures of global coherence between entities. Optimizing the overall entity assignment is NP-hard. We investigate practical solutions based on local hill-climbing, rounding integer linear programs, and pre-clustering entities followed by local optimization within clusters. In experiments involving over a hundred manually-annotated Web pages and tens of thousands of spots, our approaches significantly outperform recently-proposed algorithms. 0 0
Comment: The wiki way in a hurry - The ICIS anecdote MIS Quarterly: Management Information Systems English 0 0
Comment: the wiki way in a hurry--the ICIS anecdote Dov Teeni MIS Q. English 0 0
Comment: where is the theory in wikis? Ann Majchrzak MIS Q. English 0 0
Comparing and merging versioned wiki pages Lecture Notes in Business Information Processing English 0 0
Comparison of middle school, high school and community college students' Wiki activity in Globaloria-West Virginia: (pilot year-two) Rebecca Reynolds
Idit Harel Caperton
Computer-supported collaborative learning
Digital literacy
Game design
Serious games
Social media
Web 2.0
WikiSym English 0 0
Completing wikipedia's hyperlink structure through dimensionality reduction Robert West
Doina Precup
Joelle Pineau
Data mining
Graph mining
Link mining
Principal component analysis
CIKM English 0 0
Concept vector extraction from Wikipedia category network Masumi Shirakawa
Kotaro Nakayama
Takahiro Hara
Shojiro Nishio
Concept vector
Web mining
ICUIMC English 0 0
Consensus Choice for Reconciling Social Collaborations on Semantic Wikis Jason J. Jung
Ngoc Thanh Nguyen
Conflict resolution
Consensus theory
Semantic wiki
ICCCI English 0 0
Construction of a Domain Ontological Structure from Wikipedia Ontology learning
STIL English 0 0
Construction of disambiguated Folksonomy ontologies using Wikipedia Noriko Tomuro
Andriy Shepitsen
People's Web English 0 0
Content hole search in community-type content using Wikipedia Akiyo Nadamoto
Eiji Aramaki
Takeshi Abekawa
Yohei Murakami
Content hole search
IiWAS English 0 0
Coordinating Curriculum Implementation Using Wiki-supported Graph Visualization Sonja Kabicher
Renate Motschnig-Pitrik
ICALT English 0 0
Corpus Exploitation from Wikipedia for Ontology Construction Gaoying Cui
Qin Lu
Wenjie Li
Yirong Chen
English 0 0
Cosmos: a Wiki data management system Qinyi Wu
Calton Pu
Danesh Irani
Version control systems
WikiSym English 0 0
Creating "the Wikipedia of pros and cons" Brooks Lindsay Wiki
Pros and cons
WikiSym English 0 0
Creating Community through the Use of a Class Wiki Kirsten A. Johnson
Jamie Bartolino
Community building
OCSC English 0 0
Creating User Profiles Using Wikipedia Krishnan Ramanathan
Komal Kapoor
User modeling
User profiles
ER English 0 0
Cross-cultural collaboration Wiki: evolving knowledge about international teamwork Nicole Schadewitz
Norhayati Zakaria
Cross-cultural collaboration
Design patterns
IWIC English 0 0
Cross-cultural collaboration wiki - Evolving knowledge about international teamwork Proceedings of the 2009 ACM SIGCHI International Workshop on Intercultural Collaboration, IWIC'09 English 0 0
Cross-lingual Alignment and Completion of Wikipedia Templates Gosse Bouma
Sergio Duarte
Zahurul Islam
English 0 0
Crosslanguage retrieval based on Wikipedia statistics Andreas Juffinger
Roman Kern
Michael Granitzer
CLEF English 0 0
DBpedia Live Extraction Sebastian Hellmann
Claus Stadler
Jens Lehmann
Sören Auer
English 0 0
DBpedia – A Crystallization Point for the Web of Data Christian Bizer
Jens Lehmann
Georgi Kobilarov
Sören Auer
Christian Becker
Richard Cyganiak
Sebastian Hellmann
Web of data
Linked data
Knowledge Extraction
Journal of Web Semantics: Science, Services and Agents on the World Wide Web English The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains such as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia. 0 0
Decentralization in Wikipedia Governance Andrea Forte
Vanesa Larco
Amy Bruckman
English How does "self-governance" happen in Wikipedia? Through in-depth interviews with 20 individuals who have held a variety of responsibilities in the English-language Wikipedia, we obtained rich descriptions of how various forces produce and regulate social structures on the site. Although Wikipedia is sometimes portrayed as lacking oversight, our analysis describes Wikipedia as an organization with highly refined policies, norms, and a technological architecture that supports organizational ideals of consensus building and discussion. We describe how governance on the site is becoming increasingly decentralized as the community grows and how this is predicted by theories of commons-based governance developed in offline contexts. We also briefly examine local governance structures called WikiProjects through the example of WikiProject Military History, one of the oldest and most prolific projects on the site. 0 0
Deploying PHP applications on IBM DB2 in the cloud: MediaWiki as a case study Leons Petrazickis CASCON English 0 0
Design Alternatives for a MediaWiki to Support Collaborative Writing in Higher Education Classes Sumonta Kasemvilas
Lorne Olfman
Collaborative writing
Constructivist learning
Design science research
Talk page
Project management
Web 2.0
Issues in Informing Science and Information Technology English Constructivist learning mechanisms such as collaborative writing have emerged as a result of the development of Web 2.0 technologies. We define the term mandatory collaborative writing to describe a writing activity where the group has a firm deadline. Our study focuses on how a wiki can fully support mandatory group writing. The motivation of this design science research study emerges from a graduate Knowledge Management class assignment to write a wiki book. The project outcome shows that the wiki instance used for the project, MediaWiki, could better facilitate the process with a set of extensions that support discussion, evaluation, and project management. We outline designs for these mechanisms: 1) a discussion mechanism that changes the way users discuss content on a wiki page and increases group awareness; 2) an evaluation mechanism that provides a tool for the instructor to monitor and assess students’ performance; and 3) a project management tool that increases awareness of the status of each component of the writing project and provides an overall summary of the project. A demonstration of the principles to a focus group provided a basic proof of the validity of these mechanisms. 16 1
Designing wikis for collaborative learning and knowledge-building in higher education Swapna Kumar CSCL English 0 0
Detector y corrector automático de ediciones maliciosas en Wikipedia Emilio J. Rodríguez-Posada Wikipedia
Spanish El proyecto desarrolla AVBOT (acrónimo de Anti-Vandalism BOT), un programa que detecta y corrige automáticamente ediciones maliciosas en Wikipedia en español. Está programado en Python y utiliza las librerías pywikipediabot y python-irclib. 0 0
Developing semantic web applications with the onto wiki framework Studies in Computational Intelligence English 0 0
Did you put it on the wiki?: information sharing through wikis in interdisciplinary design collaboration Ammy J. Phuwanartnurak English Interdisciplinary design is challenging, in large measure, because of the difficulty in communicating and coordinating across disciplines. Team members from different disciplines may view and solve the same problem from different perspectives, with their own unique method and language, which may create barriers to information sharing. Wikis, in particular, have gained popularity as a collaborative tool and have been claimed to support collaboration and information sharing. Despite the increasing use of wikis in design projects, there has been little research attention to how wikis are actually used by design teams. This paper describes a field study of two interdisciplinary design teams, seeking to discover how wikis support information sharing in software development projects. The study provides empirical evidence on the use of wikis in interdisciplinary design work, which will be used to develop guidelines on the effective use of wikis to support interdisciplinary design collaboration. 0 0
Directions for exploiting asymmetries in multilingual Wikipedia Elena Filatova CLIAWS3 English 0 0
Domain Knowledge Wiki for Eliciting Requirements Takanori Ugai
Kouji Aoyama
MARK English 0 0
DynaTable: A wiki extension for structured data WikiSym English 0 1
Effective wiki strategies to support high-context culture learners TechTrends English 0 0
Effects of student-written wiki-based textbooks on pre-service teachers' epistemological beliefs Journal of Educational Computing Research English 0 0
Efficient community management in an industrial design engineering wiki: Distributed leadership ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings English 0 0
Em Busca Do “Artigo Perfeito”: O Ciclo de Vida dos Textos na Wikipédia Carlos Frederico de Brito d’Andréa Text
Texto Livre: Linguagem e Tecnologia Portuguese This paper discusses how text edition in Wikipedia in Portuguese is both stimulated and controled by internal rules. The stages of articles under constrution, from "stub" to "perfection", are guided by different processes of text editing, like Wikify, and protection, as Reverting and Deletion policy. 8 1
Enciclopédias na web 2.0: colaboração e moderação na Wikipédia e Britannica Online Carlos Frederico de Brito d’Andréa Encyclopedia
Web 2.0
Em Questão: Revista da Faculdade de Biblioteconomia e Comunicação da UFRGS Portuguese This paper compares the editorial policies of Wikipedia and Britannica Online, with focus in openness to public participation and the mechanisms of moderation to allow or limit the collective editing of articles. The description and analysis of those mechanisms consider the technical resources that enable collaboration and validation of information, the rules of internal management of content and community of users. Despite some common features shared by both projects, we point out fundamental differences in those initiatives, such as valuing expertise (Britannica) or the engagement of users (Wikipedia). 16 2
Enhancing Grid Service Discovery with a Semantic Wiki and the Concept Matching Approach Tao Guan
David Fowler
Ayomi Bandara
Ed Zaluska
David De Roure
Richard Crowder
Gary Wills
Grid Service Discovery
Semantic wiki
Concept Matching
SKG English 0 0
Enhancing Wikipedia Editing with WAI-ARIA Caterina Senette
Maria Claudia Buzzi
Marina Buzzi
Barbara Leporini
Blind users
User testing
USAB English 0 0
Enhancing cluster labeling using Wikipedia David Carmel
Haggai Roitman
Naama Zwerdling
English This work investigates cluster labeling enhancement by utilizing Wikipedia, the free on-line encyclopedia. We describe a general framework for cluster labeling that extracts candidate labels from Wikipedia in addition to important terms that are extracted directly from the text. The "labeling quality" of each candidate is then evaluated by several independent judges and the top evaluated candidates are recommended for labeling. Our experimental results reveal that the Wikipedia labels agree with manual labels associated by humans to a cluster, much more than with significant terms that are extracted directly from the text. We show that in most cases even when human's associated label appears in the text, pure statistical methods have difficulty in identifying them as good descriptors. Furthermore, our experiments show that for more than 85% of the clusters in our test collection, the manual label (or an inflection, or a synonym of it) appears in the top five labels recommended by our system. 0 0
Enhancing managerial competencies through a wiki-learning space International Journal of Continuing Engineering Education and Life-Long Learning English 0 0
Evaluating a statistical CCG parser on Wikipedia Matthew Honnibal
Joel Nothman
James R. Curran
People's Web English 0 0
Evaluating the trustworthiness of Wikipedia articles through quality and credibility Sai T. Moturu
Huan Liu
WikiSym English Wikipedia has become a very popular destination for Web surfers seeking knowledge about a wide variety of subjects. While it contains many helpful articles with accurate information, it also consists of unreliable articles with inaccurate or incomplete information. A casual observer might not be able to differentiate between the good and the bad. In this work, we identify the necessity and challenges for trust assessment in Wikipedia, and propose a framework that can help address these challenges by identifying relevant features and providing empirical means to meet the requirements for such an evaluation. We select relevant variables and perform experiments to evaluate our approach. The results demonstrate promising performance that is better than comparable approaches and could possibly be replicated with other social media applications. 0 0
Evidence-based decisions for the wiki world International Journal of Metadata, Semantics and Ontologies English 0 0
Experience report - Wiki for law firms Urs Egli
Peter Sommerlad
WikiSym English 0 0
Experimental evaluation of wiki technology and the shaper role in rapid interdisciplinary requirements negotiation Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS English 0 0
Exploitation of the wikipedia category system for enhancing the value of LCSH Yoji Kiyota
Hiroshi Nakagawa
Satoshi Sakai
Tatsuya Mori
Hidetaka Masuda
Subject headings
Wikipedia categories
JCDL English 0 0
Exploiting Negative Categories and Wikipedia Structures for Document Classification Meenakshi Sundaram Murugeshan
K. Lakshmi
Saswati Mukherjee
XML classification
Profile creation
Negative Categories
Similarity measure
Feature Selection
Multiple Classifiers
ARTCOM English 0 0
Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering Sergio Ferrández
Antonio Toral
Óscar Ferrández
Antonio Ferrández
Rafael Muñoz
Information Sciences English This paper describes a new advance in solving Cross-Lingual Question Answering (CL–QA) tasks. It is built on three main pillars: (i) the use of several multilingual knowledge resources to reference words between languages (the Inter Lingual Index (ILI) module of EuroWordNet and the multilingual knowledge encoded in Wikipedia); (ii) the consideration of more than only one translation per word in order to search candidate answers; and (iii) the analysis of the question in the original language without any translation process. This novel approach overcomes the errors caused by the common use of Machine Translation (MT) services by CL–QA systems. We also expose some studies and experiments that justify the importance of analyzing whether a Named Entity should be translated or not. Experimental results in bilingual scenarios show that our approach performs better than an MT based CL–QA approach achieving an average improvement of 36.7%. 0 0
Exploiting Wikipedia as external knowledge for document clustering Xiaohua Hu
Xiaodan Zhang
Caimei Lu
E. K. Park
Xiaohua Zhou
English In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two documents use different collections of core words to represent the same topic, they may be falsely assigned to different clusters due to the lack of shared core words, although the core words they use are probably synonyms or semantically associated in other forms. The most common way to solve this problem is to enrich document representation with the background knowledge in an ontology. There are two major issues for this approach: (1) the coverage of the ontology is limited, even for WordNet or Mesh, (2) using ontology terms as replacement or additional features may cause information loss, or introduce noise. In this paper, we present a novel text clustering method to address these two issues by enriching document representation with Wikipedia concept and category information. We develop two approaches, exact match and relatedness-match, to map text documents to Wikipedia concepts, and further to Wikipedia categories. Then the text documents are clustered based on a similarity metric which combines document content information, concept information as well as category information. The experimental results using the proposed clustering framework on three datasets (20-newsgroup, TDT2, and LA Times) show that clustering performance improves significantly by enriching document representation with Wikipedia concepts and categories. 0 0
Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications Mandar Haridas
Doina Caragea
OTM English 0 0
Exploring the effects of experience on wiki anxiety and wiki usability: an online study Benjamin R. Cowan
Lorenzo Vigentini
Mervyn A. Jack
Wiki anxiety
BCS-HCI English 0 0
Exploring the use of Wikis for information sharing in interdisciplinary design Ammy Jiranida Phuwanartnurak Wiki
Information sharing
Interdisciplinary design
GROUP English 0 0
Extracting Geospatial Entities from Wikipedia Jeremy Witmer
Jugal Kalita
Geospatial extraction
Wikipedia extraction
Location extraction
Geospatial entity recognition
ICSC English 0 0
Extracting Semantics from Multimedia Content using Wikipedia Angela Fogarolli
Marco Ronchetti
English 0 0
Extracting lexical reference rules from Wikipedia Eyal Shnarch
Libby Barak
Ido Dagan
ACL English 0 0
Extracting world and linguistic knowledge from Wikipedia Simone Paolo Ponzetto
Michael Strube
NAACL-Tutorials English 0 0
Factors affecting the way students collaborate in a wiki for English language learning Australasian Journal of Educational Technology English 0 0
Finding hedges by chasing weasels: hedge detection using Wikipedia tags and shallow linguistic features Viola Ganter
Michael Strube
ACLShort English 0 0
Fixing the floating gap: The online encyclopaedia Wikipedia as a global memory place Christian Pentzold Collective memory
Consensus and contestation
World Wide Web
Memory Studies English The article proposes to interpret the web-based encyclopaedia Wikipedia as a global memory place. After presenting the core elements and basic characteristics of wikis and Wikipedia respectively, the article discusses four related issues of social memory studies: collective memory, communicative and cultural memory, `memory places' and the `floating gap'. In a third step, these theoretical premises are connected to the understanding of discourse as social cognition. Fourth, comparison is made between the potential of the World Wide Web as cyberspace for collective remembrance and the obstacles that stand in its way. On this basis, the article argues that Wikipedia presents a global memory place where memorable elements are negotiated. Its complex processes of discussion and article creation are a model of the discursive fabrication of memory. Thus, they can be viewed and analysed as the transition, the `floating gap' between communicative and collective frames of memory. 6 2
FolksoViz: A Semantic Relation-Based Folksonomy Visualization Using the Wikipedia Corpus Kangpyo Lee
Hyunwoo Kim
Hyopil Shin
Hyoung-Joo Kim
Collaborative tagging
Semantic Relation
Web 2.0
SNPD English 0 0
Formalization and community investment in wikipedia's regulating texts: the role of essays Jonathan T. Morgan
Katie Derthick
Toni Ferro
Elly Searle
Mark Zachry
Travis Kriplean
Computer-mediated communication
Computer-Supported Cooperative Work
Sociotechnical systems
SIGDOC English 0 0
Forums and wikis and blogs, oh my: building a foundation for social computing in education Timothy J. Ellis
Maxine S. Cohen
Asynchronous learning networks
Discussion forums
Social computing
Web 2.0
FIE English 0 0
Fostering online collaborative learning using wikis: a pilot study Andri Ioannou
Agni Stylianou-Georgiou
CSCL English 0 0
From a Social Wiki to a Social Workflow System Gustaf Neumann
Selim Erol
English This paper presents an approach for using wikis in an organizational context and a proto-type implementation for developing a wiki-based workflow system. We provide general considerations and requirements for changing a wiki’s application context from public to organizational and will describe consequences for wiki architecture and policy management. The presented workflow system is based on an open-source wiki tool and is targeted at collaborative workflow design and activity management. 0 0
GRF wiki UOC. Trabajo colectivo, colaboración y evaluación David Gómez-Fontanills Congreso de la Cibersociedad Spanish GRF wiki is a wiki with forms and semantic extensions used in the area of design in Multimedia online

studies at UOC as a complement of the Virtual Campus. Here we explain how an activity of analysis related with brands visual identity was developed as a collective task by the whole of the classroom with a self-directed distribution of tasks depending on the process of work and how this work was evaluated.

(Spanish) GRF wiki es un wiki con formularios y extensiones semánticas usado en el área de diseño del Graduado Multimedia a distancia de la UOC como complemento del Campus Virtual. Aquí se explica como se desarrolló una actividad de análisis relacionada con la identidad gráfica de las marcas como tarea colectiva del conjunto del aula, con un reparto de tareas autodirigido en función del proceso de trabajo y de qué forma este trabajo fue evaluado.

(Catalan) El GRF wiki és un wiki amb formularis I extensions semàntiques utilitzat a l'àrea de disseny del Graduat Multimèdia a distància de la UOC com a complement del Campus Virtual. Aquí s'explica com es va portar a terme una activitat d'anàlisi relacionada amb la identitat gràfica de les marques com a tasca col·lectiva del conjunt de l'aula, amb una distribució de tasques autodirigida en funció del procés de treball i de quina

manera va ser avaluada aquesta feina.
0 0
Geo-wiki.org: The use of crowdsourcing to improve global land cover Remote Sensing English 0 0
GikiCLEF topics and Wikipedia articles: did they blend? Nuno Cardoso CLEF English 0 0
GikiP at GeoCLEF 2008: joining GIR and QA forces for querying Wikipedia Diana Santos
Nuno Cardoso
Paula Carvalho
Iustin Dornescu
Sven Hartrumpf
Johannes Leveling
Yvonne Skalban
CLEF English 0 0
Gênero e colaboração: a construção do verbete da Wikipédia Vanessa Wendhausen Lima Anais Hipertexto 2009 Portuguese 0 0
Half-day workshop on "the value of corporate Wikis" Lakshmi Goel
Iris Junglas
WikiSym English 0 0
Harnessing the Web Information Ecosystem with Wiki-based Visualization Dashboards Matthew McKeon IEEE Transactions on Visualization and Computer Graphics English We describe the design and deployment of Dashiki, a public website where users may collaboratively build visualization dashboards through a combination of a wiki-like syntax and interactive editors. Our goals are to extend existing research on social data analysis into presentation and organization of data from multiple sources, explore new metaphors for these activities, and participate more fully in the web!s information ecology by providing tighter integration with real-time data. To support these goals, our design includes novel and low-barrier mechanisms for editing and layout of dashboard pages and visualizations, connection to data sources, and coordinating interaction between visualizations. In addition to describing these technologies, we provide a preliminary report on the public launch of a prototype based on this design, including a description of the activities of our users derived from observation and interviews 0 0
Heuristics for Implementation of Wiki Technology in Higher Education Learning Portia Pusey
Gabriele Meiselwitz
Communal Constructivism
Wiki Learning
Wiki Learning Environment
OCSC English 0 0
How and why do college students use Wikipedia? S. Lim English The purposes of this study were to explore college students' perceptions, uses of, and motivations for using Wikipedia, and to understand their information behavior concerning Wikipedia based on social cognitive theory (SCT). A Web survey was used to collect data in the spring of 2008. The study sample consisted of students from an introductory undergraduate course at a large public university in the midwestern United States. A total of 134 students participated in the study, resulting in a 32.8% response rate. The major findings of the study include the following: Approximately one-third of the students reported using Wikipedia for academic purposes. The students tended to use Wikipedia for quickly checking facts and finding background information. They had positive past experiences with Wikipedia; however, interestingly, their perceptions of its information quality were not correspondingly high. The level of their confidence in evaluating Wikipedia's information quality was, at most, moderate. Respondents' past experience with Wikipedia, their positive emotional state, their disposition to believe information in Wikipedia, and information utility were positively related to their outcome expectations of Wikipedia. However, among the factors affecting outcome expectations, only information utility and respondents' positive emotions toward Wikipedia were related to their use of it. Further, when all of the independent variables, including the mediator, outcome expectations, were considered, only the variable information utility was related to Wikipedia use, which may imply a limited applicability of SCT to understanding Wikipedia use. However, more empirical evidence is needed to determine the applicability of this theory to Wikipedia use. Finally, this study supports the knowledge value of Wikipedia (Fallis, 2008), despite students' cautious attitudes toward Wikipedia. The study suggests that educators and librarians need to provide better guidelines for using Wikipedia, rather than prohibiting Wikipedia use altogether. 0 2
Identifying document topics using the Wikipedia category network Peter Schönhofen Wikipedia
Web Intelli. and Agent Sys. English In the last few years the size and coverage of Wikipedia, a community edited, freely available on-line encyclopedia has reached the point where it can be effectively used to identify topics discussed in a document, similarly to an ontology or taxonomy. In this paper we will show that even a fairly simple algorithm that exploits only the titles and categories of Wikipedia articles can characterize documents by Wikipedia categories surprisingly well. We test the reliability of our method by predicting categories of Wikipedia articles themselves based on their bodies, and also by performing classification and clustering on 20 Newsgroups and RCV1, representing documents by their Wikipedia categories instead of (or in addition to) their texts. 0 1
Implementation of an onto-wiki toolkit using web services to improve the efficiency and effectiveness of medical ontology co-authoring and analysis A. S. Lau English The ICD11 draft was launched by the WHO in order to define ICD ontology by selected experts using a wiki-like structured joint-authoring tool. The challenge of this expert-/community-based ontology co-authoring is how to manage and process the ontology objects in the wiki page. The wiki-tools in the market require lots of time and human effort to organise, process and extract the ontology content from the wiki page for review and analysis. Therefore, this article is to investigate how to apply semantic web technology to improve the efficiency and effectiveness of ontology co-authoring and analysis. An onto-wiki toolkit that provides a set of web services is proposed for ontology creators to create, co-edit, organise, map and relate the wiki-like structured ontology objects on a wiki page for review and analysis. By using the onto-wiki toolkits, the pace of terminology standardisation, e-patient records integration, exchange and sharing can be improved. 0 0
Improving Wikipedia: educational opportunity and professional responsibility Kristine L. Callis
Lindsey R. Christ
Julian Resasco
David W. Armitage
Jeremy D. Ash
Timothy T. Caughlin
Sharon F. Clemmensen
Stella M. Copeland
Timothy J. Fullman
Ryan L. Lynch
Charley Olson
Raya A. Pruner
Ernane H. Vieira-Neto
Raneve West-Singh
Emilio M. Bruna
English 0 1
Improving the extraction of bilingual terminology from Wikipedia Maike Erdmann
Kotaro Nakayama
Takahiro Hara
Shojiro Nishio
Bilingual dictionary
Data mining
Link analysis
ACM Trans. Multimedia Comput. Commun. Appl. English 0 0
Improving wiki quality by applying web of trust Proceedings of the 5th IASTED European Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2009 English 0 0
Increasing the accuracy of Wiki searches using semantic knowledge engine and semantic archivist Gretchen Lowerison
Michael Lowerison
Data aggregation
Knowledge building
Knowledge management
Search and retrieval
Semantic analysis
WikiSym English 0 0
Incremental knowledge acquisition in software development using a weakly-typed Wiki Filipe F. Correia
Hugo S. Ferreira
Nuno Flores
Ademar Aguiar
Knowledge acquisition
Semantic Wikis
Software engineering
WikiSym English 0 0
Information arbitrage across multi-lingual Wikipedia Eytan Adar
Michael Skinner
Daniel S. Weld
English The rapid globalization of Wikipedia is generating a parallel, multi-lingual corpus of unprecedented scale. Pages for the same topic in many different languages emerge both as a result of manual translation and independent development. Unfortunately, these pages may appear at different times, vary in size, scope, and quality. Furthermore, differential growth rates cause the conceptual mapping between articles in different languages to be both complex and dynamic. These disparities provide the opportunity for a powerful form of information arbitrage --leveraging articles in one or more languages to improve the content in another. Analyzing four large language domains (English, Spanish, French, and German), we present Ziggurat , an automated system for aligning Wikipedia infoboxes, creating new infoboxes as necessary, filling in missing information, and detecting discrepancies between parallel pages. Our method uses self-supervised learning and our experiments demonstrate the method's feasibility, even in the absence of dictionaries. 0 2
Infrastruktura slovenistične literarne vede Miran Hladnik Slovene Studies
Digitalisation of documents
Slovene Digital Library
Video lectures
28th Obdobja Symposium: Infrastruktura slovenščine in slovenistike Slovenian Slovene literary studies is being rapidly brought up to date through the digitalisation of Slovene literature from its beginnings to the present, the relocation of academic communication, research and teaching work to the Internet, and the digitalisation of past published works on literary studies. The article describes the current situation and takes a look into the future. 1 1
IntroEngineering.org: A structured wiki community for instructors of first-year engineering courses ASEE Annual Conference and Exposition, Conference Proceedings English 0 0
Is Wikipedia growing a longer tail? S. K. Lam
J. Riedl
English Wikipedia has millions of articles, many of which receive little attention. One group of Wikipedians believes these obscure entries should be removed because they are uninteresting and neglected; these are the deletionists. Other Wikipedians disagree, arguing that this long tail of articles is precisely Wikipedia's advantage over other encyclopedias; these are the inclusionists. This paper looks at two overarching questions on the debate between deletionists and inclusionists: (1) What are the implications to the long tail of the evolving standards for article birth and death? (2) How is viewership affected by the decreasing notability of articles in the long tail? The answers to five detailed research questions that are inspired by these overarching questions should help better frame this debate and provide insight into how Wikipedia is evolving. 0 2
Is Wikipedia link structure different? Jaap Kamps
Marijn Koolen
Link evidence
Information retrieval
WSDM English 0 0
Journal club. An ecologist calls for a citizen-science 'Wiki'. Nature English 0 0
Knowledge Fusion Creation Model and Its Implementation Based on Wiki Platform Youkui Wen
Yuying Jiao
Knowledge creation
Knowledge fusion
Knowledge unit ontology
Semantic mapping
Wiki platform
IEEC English 0 0
Knowledge Maturing in the Semantic MediaWiki: A Design Study in Career Guidance Nicolas Weber
Karin Schoefegger
Jenny Bimrose
Tobias Ley
Stefanie Lindstaedt
Alan Brown
Sally-Anne Barnes
Knowledge Maturing
Semantic MediaWiki
EC-TEL English 0 0
La négociation des points de vue Nicolas Auray Réseaux French The on-line encyclopaedia Wikipedia is a pragmatic patchwork, an assemblage of many singular points of view on a given subject, based on rules of clarity and communicability of public statements. Its success reflects a transformation of our relationship with knowledge. In this article the authors use a social map of the conflicts in the on-line encyclopaedia to study the places where discussion tilts into dispute, quarrels and complaints for moral misconduct or disturbance. Based on statistics and focused monographs, they show that the Wikipedia is characterized by the inability to solve certain conflicts through existing procedures, and explore the reasons for this phenomenon. 0 1
La vigilance participative Dominique Cardon
Julien Levrel
Réseaux French This article proposes an interpretation of the Wikipedia model of coordination and governance, focused on the forms of vigilance that Wikipedians use to monitor and control other contributors. Wikipedia’s procedural system of self-regulation solves conflicts through discussion, mediation and sanctions, by organizing tension between the local control of statements and the centralized measures against those who repeatedly contravene the encyclopaedia’s principles. The authors describe the architecture of the arenas and rules that make it possible to solve publishing conflicts without transgressing the principle of an unconditional openness to everyone’s right to contribute and to monitor others. 18 2
Labeling News Topic Threads with Wikipedia Entries Tomoki Okuoka
Tomokazu Takahashi
Daisuke Deguchi
Ichiro Ide
Hiroshi Murase
News video
Video archive
ISM English 0 0
Large-scale taxonomy mapping for restructuring and integrating wikipedia Simone Paolo Ponzetto
Roberto Navigli
IJCAI English 0 0
Learning about social accounting in the knowledge society: A wiki-Webquest CSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education English 0 0
Learning course content by creating a wiki TechTrends English 0 0
Learning in and with an open wiki project: Wikiversity's potential in global capacity building First Monday English 0 0
Les sciences de l'information et des bibliothèques au prisme de Wikipédia Rémi Mathis
Olivier Morand
Bulletin des bibliothèques de France French Cet article s'intéresse à la représentation de la sphère bibliothéconomique sur Wikipédia. Après un rappel des tentatives d'organisation du travail sur les thématiques bibliothéconomiques, il dresse un état des lieux fondé sur les articles liés au portail « Sciences de l'information et des bibliothèques ». Il montre que le déficit d'image des sciences de l'information sur Wikipédia est en grande partie lié aux relations ambiguës entre la communauté wikipédienne et le monde des bibliothèques et plaide pour une meilleure appropriation de cette encyclopédie en ligne par les bibliothécaires. 2 0
Let Wiki Be More Powerful and Suitable for Enterprises with External Program Yang Zhao
Yong Zhang
Chunxiao Xing
Computational Capabilities
External Program
Monitoring Mechanism
APWeb/WAIM English 0 0
Leveraging crowdsourcing heuristics to improve search in Wikipedia Yasser Ganjisaffar
Sara Javanmardi
Cristina Lopes
WikiSym English 0 0
Lines of communication: Using a WIKI in a mathematics course PRIMUS English 0 0
Link-the-wiki: Performance evaluation based on frequent phrases Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
Linking Wikipedia Entries to Blog Feeds by Machine Learning Mariko Kawaba
Hiroyuki Nakasaki
Daisuke Yokomoto
Takehito Utsuro
Tomohiro Fukuhara
English 0 0
Lively Wiki a development environment for creating and sharing active web content Robert Krahn
Dan Ingalls
Robert Hirschfeld
Jens Lincke
Krzysztof Palacz
Application Wikis
Development environment
End-user programming
User innovation
Web application
WikiSym English 0 1
Location-based mobile wiki using NFC tag infrastructure Proceedings - 2009 1st International Workshop on Near Field Communication, NFC 2009 English 0 0
Measuring Self-Focus Bias in Community-Maintained Knowledge Repositories Brent Hecht
Darren Gergle
International Conference on Communities and Technologies English Self-focus is a novel way of understanding a type of bias in community-maintained Web 2.0 graph structures. It goes beyond previous measures of topical coverage bias by encapsulating both node- and edge-hosted biases in a single holistic measure of an entire community-maintained graph. We outline two methods to quantify self-focus, one of which is very computationally inexpensive, and present empirical evidence for the existence of self-focus using a "hyperlingual" approach that examines 15 different language editions of Wikipedia. We suggest applications of our methods and discuss the risks of ignoring self-focus bias in technological applications. 0 0
Measuring Semantic Similarity between Words Using Wikipedia Lu Zhiqiang
Shao Werimin
Yu Zhenhua
Semantic similarity
Cosine similarity
WISM English 0 0
Measuring Wikipedia: a hands-on tutorial Luca de Alfaro
Felipe Ortega
Data mining
Empirical research
WikiSym English 0 0
Measuring the Wikisphere Jeff C. Stuckman
James Purtilo
WikiSym Due to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely been focused on Wikipedia, limiting the degree that it can be generalized. We developed WikiCrawler, a tool that automatically downloads and analyzes wikis, and studied 151 popular wikis running Mediawiki (none of them Wikipedias). We found that our studied wikis displayed signs of collaborative authorship, validating them as objects of study. We also discovered that, as in Wikipedia, the relative contribution levels of users in the studied wikis were highly unequal, with a small number of users contributing a disproportionate amount of work. In addition, power-law distributions were successfully fitted to the contribution levels of most of the studied wikis, and the parameters of the fitted distributions largely predicted the high inequality that was found. Along with demonstrating our methodology of analyzing wikis from diverse sources, the discovered similarities between wikis suggest that most wikis accumulate edits through a similar underlying mechanism, which could motivate a model of user activity that is applicable to wikis in general. 9 0
Method of joint construction of standards in garment industry based on Wiki Zhejiang Daxue Xuebao(Gongxue Ban)/Journal of Zhejiang University (Engineering Science) English 0 0
Mining Concepts from Wikipedia for Ontology Construction Gaoying Cui
Qin Lu
Wenjie Li
Yirong Chen
WI-IAT English An ontology is a structured knowledgebase of concepts organized by relations among them. But concepts are usually mixed with their instances in the corpora for knowledge extraction. Concepts and their corresponding instances share similar features and are difficult to distinguish. In this paper, a novel approach is proposed to comprehensively obtain concepts with the help of definition sentences and Category Labels in Wikipedia pages. N-gram statistics and other NLP knowledge are used to help extracting appropriate concepts. The proposed method identified nearly 50,000 concepts from about 700,000 Wiki pages. The precision reaching 78.5% makes it an effective approach to mine concepts from Wikipedia for ontology construction. 0 0
Mining meaning from Wikipedia Olena Medelyan
David N. Milne
Catherine Legg
Ian H. Witten
Information extraction
Information retrieval
Natural Language Processing
Semantic web
Text mining
Data mining
Int. J. Hum.-Comput. Stud. English 0 4
Mining multilingual topics from Wikipedia Xiaochuan Ni
Jian T. Sun
Jian Hu
Zheng Chen
English In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages. Based on the observation that one Wikipedia concept may be described by articles in different languages, we adapt existing topic modeling algorithm for mining multilingual topics from this knowledge base. The extracted 'universal' topics have multiple types of representations, with each type corresponding to one language. Accordingly, new documents of different languages can be represented in a space using a group of universal topics, which makes various multilingual Web applications feasible. 0 0
MoKi: The Enterprise Modelling Wiki Chiara Ghidini
Barbara Kump
Stefanie Lindstaedt
Nahid Mahbub
Viktoria Pammer
Marco Rospocher
Luciano Serafini
English Enterprise modelling focuses on the construction of a structured description, the so-called enterprise model, which represents aspects relevant to the activity of an enterprise. Although it has become clearer recently that enterprise modelling is a collaborative activity, involving a large number of people, most of the enterprise modelling tools still only support very limited degrees of collaboration. Within this contribution we describe a tool for enterprise modelling, called MoKi (MOdelling wiKI), which supports agile collaboration between all different actors involved in the enterprise modelling activities. MoKi is based on a Semantic Wiki and enables actors with different expertise to develop an enterprise model not only using structural (formal) descriptions but also adopting more informal and semi-formal descriptions of knowledge. 0 0
Named Entity Recognition in Wikipedia Dominic Balasuriya
Nicky Ringland
Joel Nothman
Tara Murphy
James R. Curran
English 0 0
Named entity disambiguation by leveraging Wikipedia semantic knowledge Xianpei Han
Jun Zhao
English Name ambiguity problem has raised an urgent demand for efficient, high-quality named entity disambiguation methods. The key problem of named entity disambiguation is to measure the similarity between occurrences of names. The traditional methods measure the similarity using the bag of words (BOW) model. The BOW, however, ignores all the semantic relations such as social relatedness between named entities, associative relatedness between concepts, polysemy and synonymy between key terms. So the BOW cannot reflect the actual similarity. Some research has investigated social networks as background knowledge for disambiguation. Social networks, however, can only capture the social relatedness between named entities, and often suffer the limited coverage problem. To overcome the previous methods' deficiencies, this paper proposes to use Wikipedia as the background knowledge for disambiguation, which surpasses other knowledge bases by the coverage of concepts, rich semantic information and up-to-date content. By leveraging Wikipedia's semantic knowledge like social relatedness between named entities and associative relatedness between concepts, we can measure the similarity between occurrences of names more accurately. In particular, we construct a large-scale semantic network from Wikipedia, in order that the semantic knowledge can be used efficiently and effectively. Based on the constructed semantic network, a novel similarity measure is proposed to leverage Wikipedia semantic knowledge for disambiguation. The proposed method has been tested on the standard WePS data sets. Empirical results show that the disambiguation performance of our method gets 10.7% improvement over the traditional BOW based methods and 16.7% improvement over the traditional social network based methods. 0 0
Network analysis of collaboration structure in Wikipedia Ulrik Brandes
Patrick Kenis
Jürgen Lerner
Denise van Raaij
English In this paper we give models and algorithms to describe and analyze the collaboration among authors of Wikipedia from a network analytical perspective. The edit network encodes who interacts how with whom when editing an article; it significantly extends previous network models that code author communities in Wikipedia. Several characteristics summarizing some aspects of the organization process and allowing the analyst to identify certain types of authors can be obtained from the edit network. Moreover, we propose several indicators characterizing the global network structure and methods to visualize edit networks. It is shown that the structural network indicators are correlated with quality labels of the associated Wikipedia articles. 0 4
On the Analysis of Contributions from Privileged Users in Virtual Open Communities Felipe Ortega
Daniel Izquierdo-Cortazar
Jesús M. González-Barahona
Gregorio Robles
Libre software
HICSS English Collaborative projects built around virtual communities on the Internet have gained momentum over the last decade. Nevertheless, their rapid growth rate rises some questions: which is the most effective approach to manage and organize their content creation process? Can these communities scale, controlling their projects as their size continues to grow over time? To answer these questions, we undertake a quantitative analysis of privileged users in FLOSS development projects and in Wikipedia. From our results, we conclude that the inequality level of user contributions in both types of initiatives is remarkably distinct, even though both communities present almost identical patterns regarding the number of distinct contributors per file (in FLOSS projects) or per article (in Wikipedia). As a result, totally open projects like Wikipedia can effectively deal with faster growing rates, while FLOSS projects may be affected by bottlenecks on committers who play critical roles. 0 0
On the problem of Wiki texts indexing A. Krizhanovsky
A. Smirnov
Journal of Computer & Systems Sciences International English A new type of documents called a “wiki page” is winning the Internet. This is expressed not only in an increase of the number of Internet pages of this type, but also in the popularity of Wiki projects (in particular, Wikipedia); therefore the problem of parsing in Wiki texts is becoming more and more topical. A new method for indexing Wikipedia texts in three languages: Russian, English, and German, is proposed and implemented. The architecture of the indexing system, including the software components GATE and Lemmatizer, is considered. The rules of converting Wiki texts into texts in a natural language are described. Index bases for the Russian Wikipedia and Simple English Wikipedia are constructed. The validity of Zipf’s laws is tested for the Russian Wikipedia and Simple English Wikipedia. 13 0
Online wiki collaboration by teachers of students with autism spectrum disorders Australasian Journal of Special Education English 0 0
Organización de información en herramientas wiki: aplicación de ontologías en wikis semánticos Jesús Tramullas
Piedad Garrido-Picazo
Semantic wiki
IX Congreso ISKO España, Nuevas perspectivas para la difusión y organización del conocimiento, Univ. Politécnica de Valencia Spanish 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
Organizing the vision for web 2.0: a study of the evolution of the concept in Wikipedia Arnaud Gorgeon
E. Burton Swanson
Organization vision
Revision history
Web 2.0
WikiSym English 0 1
Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies Marius Pasca English 0 0
Overview of the INEX 2008 link the wiki track Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
Participações em uma comunidade de prática: o sustentáculo da Wikipédia Paulo Henrique Souto Maior Serrano Anais Hipertexto 2009 Portuguese 2 0
Peer-to-Peer Semantic Wikis Hala Skaf-Molli
Charbel Rahhal
Pascal Molli
DEXA English 0 0
PlWiki - A generic semantic wiki architecture Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
PlWiki --- A Generic Semantic Wiki Architecture Grzegorz J. Nalepa ICCCI English 0 0
Pre-service teachers' experiences with wiki: Challenges of asynchronous collaboration WikiSym English 0 0
Proteopedia.Org: A scientific "wiki" bridging the rift between 3D structure and function of biomacromolecules Biopolymers English 0 0
Protocol for a systematic literature review of research on the Wikipedia Chitu Okoli
Kira Schabram
Literature review
Open content
Open source
International Conference on Management of Emergent Digital EcoSystems English Context: Wikipedia has become one of the ten-most visited sites on the Web, and the world's leading source of Web reference information. Its rapid success has attracted over 1,000 scholarly studies that treat Wikipedia as a major topic or data source. Objectives: This article presents a protocol for conducting a systematic mapping (a broad-based literature review) of research on Wikipedia. It identifies what research has been conducted; what research questions have been asked, which have been answered; and what theories and methodologies have been employed to study Wikipedia. Methods: This protocol follows the rigorous methodology of evidence-based software engineering to conduct a systematic mapping study. Results and conclusions: This protocol reports a study in progress. 0 0
ProveIt: a new tool for supporting citation in MediaWiki Kurt Luther
Matthew Flaschen
Andrea Forte
Christopher Jordan
Amy Bruckman
WikiSym English 0 0
QAST: question answering system for Thai Wikipedia Wittawat Jitkrittum
Choochart Haruechaiyasak
Thanaruk Theeramunkong
KRAQ English 0 0
QuWi: quality control in Wikipedia Alberto Cusinato
Vincenzo Della Mea
Francesco Di Salvatore
Stefano Mizzaro
Quality control
WICOW English 0 0
Quality Evaluation of Search Results by Typicality and Speciality of Terms Extracted from Wikipedia Makoto Nakatani
Adam Jatowt
Hiroaki Ohshima
Katsumi Tanaka
Search results quality
Term extraction
Term speciality
Term typicality
Data mining
DASFAA English 0 0
Query dependent pseudo-relevance feedback based on Wikipedia Yang Xu
Gareth J. F. Jones
Bin Wang
English Pseudo-relevance feedback (PRF) via query-expansion has been proven to be e®ective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from an initial search are assumed to be relevant and used for PRF. One problem with this approach is that one or more of the top retrieved documents may be non-relevant, which can introduce noise into the feedback process. Besides, existing methods generally do not take into account the significantly different types of queries that are often entered into an IR system. Intuitively, Wikipedia can be seen as a large, manually edited document collection which could be exploited to improve document retrieval effectiveness within PRF. It is not obvious how we might best utilize information from Wikipedia in PRF, and to date, the potential of Wikipedia for this task has been largely unexplored. In our work, we present a systematic exploration of the utilization of Wikipedia in PRF for query dependent expansion. Specifically, we classify TREC topics into three categories based on Wikipedia: 1) entity queries, 2) ambiguous queries, and 3) broader queries. We propose and study the effectiveness of three methods for expansion term selection, each modeling the Wikipedia based pseudo-relevance information from a different perspective. We incorporate the expansion terms into the original query and use language modeling IR to evaluate these methods. Experiments on four TREC test collections, including the large web collection GOV2, show that retrieval performance of each type of query can be improved. In addition, we demonstrate that the proposed method out-performs the baseline relevance model in terms of precision and robustness. 0 0
Quest for excellence in a wiki-based world R. Hatcher-Gallop
Z. Fazal
M. Oluseyi
English In an increasingly technological world, the Internet is often the primary source of information. Traditional encyclopedias, once the cornerstone of any worthy reference collection, have been replaced by online encyclopedias, many of which utilize open source software (OSS) to create and update content. One of the most popular and successful encyclopedias of this nature is Wikipedia. In fact, Wikipedia is among the most popular Internet sites in the world. However, it is not without criticism. What are some features of Wikipedia? What are some of its strengths and weaknesses? And what have other wiki-based encyclopedias learned from Wikipedia that they have incorporated into their own websites in a quest for excellence? This paper answers these questions and uses Crawford's six information quality dimensions, 1) scope; 2) format; 3) uniqueness and authority; 4) accuracy; 5) currency; and 6) accessibility, to evaluate Wikipedia and three other online encyclopedias: Citizendium, Scholarpedia, and Medpedia. The latter three have managed to maintain the advantages of Wikipedia while minimizing its weaknesses. 0 0
Reengineering the Wikipedia for Reputation Thomas R. Korsgaard
Christian D. Jensen
English The Wikipedia is a free online encyclopedia collaboratively edited by Internet users with a minimum of administration. Anybody can write an article for the Wikipedia and there is no verification of the author's expertise on the particular subject. This may lead to problems relating to the quality of articles, especially completeness and correctness of information, and inaccuracies in the Wikipedia have been rumoured to cause students to fail courses; innocent people have been associated with the killing of John F. Kennedy, etc. Providing a means to assess the correctness, completeness and impartiality of information in the Wikipedia is therefore vitally important for the users to build trust in the Wikipedia and ensure the continued success and growth of the system. Integrating a reputation system into the Wikipedia would help users assess the quality of articles and provide a powerful incentive for authors to improve the quality of their articles. There are currently more than 7.5 million articles in the Wikipedia, and more than a thousand new articles are added daily, so the investment in the existing system is significant. The introduction of a recommendation system should therefore not require any modifications to the existing Wikipedia software. In this paper we examine the problem of reengineering a large and popular system, in this case the Wikipedia, in order to include a reputation system. We propose a recommendation system, which allows Wikipedia users to calculate a personalised rating for any article based on feedback (recommendations) provided by other Wikipedia users. The recommendation system developed for the Wikipedia is based on a general architecture, which we believe applies to many existing applications for online collaboration. The proposed recommendation system is implemented in a proxy placed between the user's web-browser and the Wikipedia server, e.g., on the user's own machine, so there is no need to modify Wikipedia servers or software. A simple prototype of the proposed recommendation system is presented in this paper along with a preliminary evaluation of the prototype. 0 0
Reputation and Reliability in Collective Goods: The Case of the Online Encyclopedia Wikipedia Denise Anthony
Sean W. Smith
Timothy Williamson
Rationality and Society English An important organizational innovation enabled by the revolution in information technologies is `open source' production which converts private commodities into essentially public goods. Similar to other public goods, incentives for reputation and group identity appear to motivate contributions to open source projects, overcoming the social dilemma inherent in producing such goods. In this paper we examine how contributor motivations affect the type of contributions made to the open source online encyclopedia Wikipedia. As expected, we find that registered participants, motivated by reputation and commitment to the Wikipedia community, make many contributions with high reliability. Surprisingly, however, we find the highest reliability from the vast numbers of anonymous `Good Samaritans' who contribute only once. Our findings of high reliability in the contributions of both Good Samaritans and committed `zealots' suggest that open source production succeeds by altering the scope of production such that a critical mass of contributors can participate. 0 0
Requirements Reasoning for Distributed Requirements Analysis Using Semantic Wiki Peng Liang
Paris Avgeriou
Viktor Clerc
Requirements reasoning
Semantic wiki
Distributed requirements engineering
ICGSE English 0 0
Researching the use of Wiki's to facilitate group work Procedia - Social and Behavioral Sciences English 0 0
Retrieval of Single Wikipedia Articles While Reading Abstracts C. Jordan
C. Watters
English When reading online, users sometimes need auxiliary information to complement or fill in their own background knowledge in order to better understand a document that they are reading. We believe that delivering this information in the least intrusive fashion possible will improve their understanding. We have prototyped a system that selects a single Wikipedia article for users when they highlight text in an abstract. This prototype employs a contextual retrieval algorithm developed for high precision retrieval of Wikipedia articles that uses the terms in the abstract, currently being read, as a context for the search. The results from our evaluation reveal that the top-performing algorithm is able to respond with a single relevant article 77% of the time. The user study that we conducted indicates that participants have a strong preference for this approach to searching while reading. 0 0
Review-Based Ranking of Wikipedia Articles Yasser Ganjisaffar
Sara Javanmardi
Cristina Lopes
CASON English 0 0
Rich Collaboration on the Move: Talk to Your Mobile Audio Wiki Lei Wang
Paul Roe
NGMAST English 0 0
Role-based wiki for reuse of off-the-shelf components Proceedings - International Conference on Software Engineering English 0 0
Rv you're dumb: identifying discarded work in Wiki article history Michael D. Ekstrand
John T. Riedl
Article history
WikiSym English 0 1
SAVVY Wiki: a context-oriented collaborative knowledge management system Takafumi Nakanishi
Koji Zettsu
Yutaka Kidawara
Yasushi Kiyoki
Collaborative working environment
Collective knowledge
WikiSym English 0 0
SWooki: Supporting disconnection in a peer-to-peer semantic wiki ACM International Conference Proceeding Series English 0 0
Scaffolding critical thinking in Wikibook creation as a learning task Nari Kim Education
Critical thinking
Web 2.0
English The purpose of this study was to investigate how to use wikibooks, which emerged through informal learning contexts of Web 2.0 technologies, as a scaffolding tool to improve critical thinking skills in formal learning contexts. Two research questions examined the degrees of participation and critical thinking in wikibook creation under instructional guidance. This study was executed as a mixed-method study incorporating multiple-case study and computer-mediated discourse analysis. Two cases of creating a wikibook as part of a scaffolded learning task were selected: (a) POLT, an enhanced scaffolding wikibook project, and (b) WELT, a minimal scaffolding wikibook project. Results showed that the use of enhanced scaffolds to promote critical thinking were an important factor in wikibook creation. In terms of online participation, the enhanced scaffolding POLT case displayed more expert-like writing patterns, which reduced time and effort related to technical difficulties of wikibooks. The minimal scaffolding WELT case showed novice-like writing patterns, indicating a need for more trial and error on the part of the students when figuring out how to create a wikibook. In addition, the enhanced scaffolding case presented higher levels of critical thinking skills regarding the ratios of the analysis units. More interactions with the instructor in the POLT may have enriched the reflections of individuals, particularly novices in academic writing, as well as helped them adopt new ways of thinking after receiving the instructor's scaffolding and perspective as a mentor. Interestingly, however, more active peer editing (an optional task of the course) was observed in the minimal scaffolding WELT case. During participant interviews, it was revealed that the quantity and quality of peer wikibook chapter editing behaviors, after removing the scaffoldings, were related to several other factors, including (a) motivation for taking the course, (b) understanding the culture of wiki-based communities, and (c) prior knowledge about and experience with the topics of the chapters as well as general academic knowledge. 12 0
Seeking health information online: does Wikipedia matter? Michaël R. Laurent
Tim J. Vickers
Journal of the American Medical Informatics Association : JAMIA English OBJECTIVE To determine the significance of the English Wikipedia as a source of online health information. DESIGN The authors measured Wikipedia's ranking on general Internet search engines by entering keywords from MedlinePlus, NHS Direct Online, and the National Organization of Rare Diseases as queries into search engine optimization software. We assessed whether article quality influenced this ranking. The authors tested whether traffic to Wikipedia coincided with epidemiological trends and news of emerging health concerns, and how it compares to MedlinePlus. MEASUREMENTS Cumulative incidence and average position of Wikipedia compared to other Web sites among the first 20 results on general Internet search engines (Google, Google UK, Yahoo, and MSN, and page view statistics for selected Wikipedia articles and MedlinePlus pages. RESULTS Wikipedia ranked among the first ten results in 71-85% of search engines and keywords tested. Wikipedia surpassed MedlinePlus and NHS Direct Online (except for queries from the latter on Google UK), and ranked higher with quality articles. Wikipedia ranked highest for rare diseases, although its incidence in several categories decreased. Page views increased parallel to the occurrence of 20 seasonal disorders and news of three emerging health concerns. Wikipedia articles were viewed more often than MedlinePlus Topic (p = 0.001) but for MedlinePlus Encyclopedia pages, the trend was not significant (p = 0.07-0.10). CONCLUSIONS Based on its search engine ranking and page view statistics, the English Wikipedia is a prominent source of online health information compared to the other online health information providers studied. 0 1
Semantic Wiki Search Peter Haase
Daniel Herzig
Mark Musen
Thanh Tran
English Semantic wikis extend wiki platforms with the ability to represent structured information in a machine-processable way. On top of the structured information in the wiki, novel ways to search, browse, and present the wiki content become possible. However, while powerful query languages offer new opportunities for semantic search, the syntax of formal query languages is not adequate for end users. In this work we present an approach to semantic search that combines the expressiveness and capabilities of structured queries with the simplicity of keyword interfaces and faceted search. Users articulate their information need in keywords, which are translated into structured, conjunctive queries. This translation may result in multiple possible interpretations of the information need, which can then be selected and further refined by the user via facets. We have implemented this approach to semantic search as an extension to Semantic MediaWiki. The results of a user study in the SMW-based community portal semanticweb.org show the efficiency and effectiveness of the approach as well as its ease of use. 0 0
Semantic Wiki as a Basis for Software Engineering Ontology Evolution Natsuda Kasisopha
Pornpit Wongthongtham
Farookh Khadeer Hussain
Ontology Management and Evolution
Semantic wiki
Software Engineering Ontology
OTM English 0 0
Semantic web wiki: Social network analysis of page editing Proceedings of the International Conference on Information Technology Interfaces, ITI English 0 0
Semantic wiki aided business process specification Toufeeq Hussain
Rajesh Balakrishnan
Amar Viswanathan
English 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. 0 0
Semantic wiki-based ontology evolution 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09 English 0 0
Serendipitous search via wikipedia: a query log analysis Tetsuya Sakai
Kenichi Nogami
Search engine
SIGIR English 0 0
So you know you're getting the best possible information: a tool that increases Wikipedia credibility Peter Pirolli
Evelin Wollny
Bongwon Suh
CHI English An experiment was conducted to study how credibility judgments about Wikipedia are affected by providing users with an interactive visualization (WikiDashboard) of article and author editing history. Overall, users who self-reported higher use of Internet information and higher rates of Wikipedia usage tended to produce lower credibility judgments about Wikipedia articles and authors. However, use of WikiDashboard significantly increased article and author credibility judgments, with effect sizes larger than any other measured effects of background media usage and attitudes on Wikiepedia credibility. The results suggest that increased exposure to the editing/authoring histories of Wikipedia increases credibility judgments. 0 0
Something wiki this way comes Nature English 0 1
Stealing anchors to link the wiki Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
Student-authored Wiki textbook in CS1 Chris Bennett J. Comput. Sci. Coll. English 0 0
Student-initiated attention to form in wiki-based collaborative writing Language Learning and Technology English 0 1
Summarizing definition from Wikipedia Shiren Ye
Tat-Seng Chua
Jie Lu
ACL English 0 0
Supporting and fostering online communities with wikis Holger Dick CSCL English 0 0
TIMELINES: Wikipedia: the happy accident Joseph M. Reagle Interactions English 0 0
Teaching Innovations on Wikis: Practices and Perspectives of Early Childhood and Elementary School Teachers Chun-Yi Lin
Lena Lee
Curtis Bonk
World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) English The purpose of this study is to investigate how wikis are used in K-6 classrooms and to understand teachers’ perspectives of integrating wikis in the classroom. The methods used in this study included Web-based surveys. In this paper, the preliminary results of the Web-based survey (n=19) will be presented regarding teachers’ strategies, roles, motivations, and beliefs at school. This study is to investigate how wikis are integrated in elementary school classrooms. Our research questions are listed below: 1. What are the teachers’ motivations to create class wikis? What are their teaching goals by integrating wikis in teaching? 2. What are their personal beliefs behind their teaching innovation? 3. In the teachers’ class wikis, how do students contribute to wikis? 3 0
Tecnologías wiki y conocimiento abierto en la Universidad Manuel Palomo-Duarte
Inmaculada Medina-Bulo
Emilio J. Rodríguez-Posada
Noelia Sales-Montes
Libre knowledge
Wiki docencia
Conferencia Internacional de Software Libre Spanish Las tecnologías wiki han revolucionado la forma de construir conocimiento en los últimos años: con solo pulsar un botón se puede pasar de ser un mero consumidor de información a autor de contenidos con un público potencial enorme. Basta como ejemplo el proyecto Wikipedia, que ha provocado recientemente que Microsoft abandone la comercialización de su enciclopedia de pago Encarta. El mundo académico no está al margen de estos avances, y son varias las iniciativas que se están desarrollando en la Universidad de Cádiz en este sentido por medio de su Oficina de Software Libre y Conocimiento Abierto. Wikijuegos es un tutorial sobre programación de videojuegos con la biblioteca libre libSDL. R-Wiki es un wiki creado por el proyecto R-UCA, que da apoyo a los usuarios (alumnos e investigadores) del paquete estadístico libre R. WikiHaskell es una experiencia que se está desarrollando en la que los alumnos crean material complementario sobre bibliotecas del lenguaje de programación Haskell. Por último, wikiUNIX es un wiki en fase de desarrollo aún que recopila información sobre administración de sistemas UNIX y que además ofrece ejercicios y un sistema GNU/Linux virtual para poder realizarlos. Todos estos wikis tienen su contenido bajo licencia libre y están accesibles públicamente. 0 1
Textual curators and writing machines: authorial agency in encyclopedias, print to digital Krista A. Kennedy Agency
Intellectual Property
Rhetoric and Scientific and Technical Communication
English Wikipedia is often discussed as the first of its kind: the first massively collaborative, Web-based encyclopedia that belongs to the public domain. While it’s true that wiki technology enables large-scale, distributed collaborations in revolutionary ways, the concept of a collaborative encyclopedia is not new, and neither is the idea that private ownership might not apply to such documents. More than 275 years ago, in the preface to the 1728 edition of his Cyclopædia, Ephraim Chambers mused on the intensely collaborative nature of the volumes he was about to publish. His thoughts were remarkably similar to contemporary intellectual property arguments for Wikipedia, and while the composition processes involved in producing these texts are influenced by the available technologies, they are also unexpectedly similar. This dissertation examines issues of authorial agency in these two texts and shows that the “Author Construct” is not static across eras, genres, or textual technologies. In contrast to traditional considerations of the poetic author, the encyclopedic author demonstrates a different form of authorial agency that operates within strict genre conventions and does not place a premium on originality. This and related variations challenge contemporary ideas concerning the divide between print and digital authorship as well as the notion that new media intellectual property arguments are without historical precedent. 25 0
The Application of Wiki to Peer Revision in English Writing Rong Gu
Chunxia Li
Junli Ge
ICISE English 0 0
The ESA Retrieval Model Revisited Maik Anderka
Benno Stein
32th International ACM SIGIR Conference (SIGIR 09) English Among the retrieval models that have been proposed in the last years, the ESA model of Gabrilovich and Markovitch received much attention. The authors report on a significant improvement in the retrieval performance, which is explained with the semantic concepts introduced by the document collection underlying ESA. Their explanation appears plausible but our analysis shows that the connections are more involved and that the "concept hypothesis" does not hold. In our contribution we analyze several properties that in fact affect the retrieval performance. Moreover, we introduce a formalization of ESA, which reveals its close connection to existing retrieval models. 0 0
The Effect of Using a Semantic Wiki for Metadata Management: A Controlled Experiment Kai M. Huner
Boris Otto
Hawaii International Conference on System Sciences English 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
The Update Version Development of "Wiki Message Linking" System - Integrated Ajax with MVC Model Yang Hongping
Shi Jiangping
Zhang Xiaorui
Web Applicaton
MVC Model
Wiki Message Linking
IFCSTA English 0 0
The Use of a Wiki as an Instructional Tool: A Qualitative Investigation Noa Aharony English The current research aims to explore and analyze the application and use of a wiki in a knowledge management academic course. The research will focus on the level of collaboration among students and on the kind of interaction that takes place during the learning process. The population of this study was composed of wiki pages gathered from a knowledge management wiki course in Israel. To understand the comments directed at each student on the wiki, a thorough content analysis was conducted. The results of the current research revealed the major part of the interaction on the wiki centered on content-related comments and contained both collaboration among the students and use of deep levels of cognition. 0 0
The Wikipedia Revolution: How A Bunch of Nobodies Created The World's Greatest Encyclopedia Andrew Lih English 0 4
The World and Wikipedia: how we are editing reality Andrew Dalby Siduri Books English 0 2
The collaborative construction of "fact" on Wikipedia Jason Swarts Fact creation
Power and negotiation
SIGDOC English 0 0
The effects of using a wiki on student engagement and learning of report writing skills in a university statistics course Australasian Journal of Educational Technology English 0 0
The role of Wiki technology and altruism in collaborative knowledge creation Journal of Computer Information Systems English 0 0
The shoemaker's children: using wikis for information systems teaching, research, and publication Gerald C. Kane
Robert G. Fichman
Web 2.0
MIS Q. English 0 0
The singularity is not near: slowing growth of Wikipedia Bongwon Suh
Gregorio Convertino
Ed H. Chi
Peter Pirolli
WikiSym English Prior research on Wikipedia has characterized the growth in content and editors as being fundamentally exponential in nature, extrapolating current trends into the future. We show that recent editing activity suggests that Wikipedia growth has slowed, and perhaps plateaued, indicating that it may have come against its limits to growth. We measure growth, population shifts, and patterns of editor and administrator activities, contrasting these against past results where possible. Both the rate of page growth and editor growth has declined. As growth has declined, there are indicators of increased coordination and overhead costs, exclusion of newcomers, and resistance to new edits. We discuss some possible explanations for these new developments in Wikipedia including decreased opportunities for sharing existing knowledge and increased bureaucratic stress on the socio-technical system itself. 0 10
The visual wiki: A new metaphor for knowledge access and management Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS English 0 0
The wiki way of learning Australasian Journal of Educational Technology English 0 0
Tools for collaborative learning: The use of wiki International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 English 0 0
Topic Identification Using Wikipedia Graph Centrality Kino Coursey
Rada Mihalcea
English 0 0
Towards Conceptual Indexing of the Blogosphere through Wikipedia Topic Hierarchy Mariko Kawaba
Daisuke Yokomoto
Hiroyuki Nakasaki
Takehito Utsuro
Tomohiro Fukuhara
English 0 0
Towards Semantic Wikis: Modelling Intensions, Topics, and Origin in Content Management Systems Gunar Fiedler
Bernhard Thalheim
English 0 0
Transdab wiki: the interactive transglutaminase substrate database on web 2.0 surface Eva Csosz
Bertalan Meskó
László Fésüs
English TRANSDAB wiki is a database of transglutaminase substrate proteins. This wiki is designed to provide quality content of all the details (including synonyms, structures, references) about transglutaminase substrate proteins and interaction partners. Currently TRANSDAB contains 243 articles about substrate proteins for 6 transglutaminase types in a user-friendly, editable format. Our aim was to collect structural information about substrate proteins and this information is provided in form of images, videos and links. The scientific community is invited to edit the database and besides providing up-to-date information, this wiki should serve as a platform for valuable discussions. 0 0
Transparency and social responsibility issues for Wikipedia Adele Santana
Donna J. Wood
Corporate social responsibility
Higher education
Ethics and Inf. Technol. English 0 0
Tutorial on agile documentation with Wikis Ademar Aguiar Wiki
Wikis for software engineering
Software development
WikiSym English 0 0
Um método automático para estimativa da qualidade de enciclopédias colaborativas on-line: um estudo de caso sobre a Wikipédia Daniel Hasan Dalip Quality Assessment
Machine learning
Portuguese The old dream of a universal repository containing all the human knowledge and culture is becoming possible through the Internet and the Web. Moreover, this is happening with the direct collaborative, participation of people. Wikipedia is a great example. It is an enormous repository of information with free access and edition, created by the community in a collaborative manner. However, this large amount of information, made available democratically and virtually without any control, raises questions about its relative quality. In this work we explore a significant number of quality indicators, some of them proposed by us and used here for the first time, and study their capability to assess the quality of Wikipedia articles. Furthermore, we explore machine learning techniques to combine these quality indicators into one single assessment judgment. Through experiments, we show that the most important quality indicators are the easiest ones to extract on a open digital library, namely, textual features related to length, structure and style. We were also able to determine which indicators did not contribute significantly to the quality assessment. These were, coincidentally, the most complex features, such as those based on link analysis. Finally, we compare our combination method with state-of-the-art solutions and show significant improvements in terms of effective quality prediction. 11 0
Understanding information sharing in software development through Wiki log analysis Ammy Jiranida Phuwanartnurak
David G. Hendry
Wiki log
Information sharing
Interdisciplinary design
WikiSym English 0 0
Understanding learning: the Wiki way Joachim Kimmerle
Johannes Moskaliuk
Ulrike Cress
WikiSym English Learning "the wiki way", learning through wikis is a form of self-regulated learning that is independent of formal learning settings and takes place in a community of knowledge. Such a community may work jointly on a digital artifact to create new, innovative and emergent knowledge. We regard wikis as a prototype of tools for community-based learning, and point out five relevant features. We will present the co-evolution model, as introduced by Cress and Kimmerle [3][4], that may be understood as a framework to describe learning in the wiki way. This model describes collaborative knowledge building as a co-evolution between cognitive and social systems. To investigate learning the wiki way, we have to consider both individual processes and processes within the wiki, which represent the processes that are going on within a community. This paper presents three empirical studies that investigate learning the wiki way in a laboratory setting. We take a look at participants' contributions to a wiki indicating processes within the wiki community, and measure the extent of individual learning at the end of the experiment. Our conclusion is that the model of co-evolution has a strong impact on understanding learning the wiki way, may be helpful to designers of learning environments, and serve as framework for further research. 0 0
Understanding user's query intent with wikipedia Jian Hu
Gang Wang
Fred Lochovsky
Jian T. Sun
Zheng Chen
Query classification
Query intent
User intent
World Wide Web English 0 0
UniWiki: A Collaborative P2P System for Distributed Wiki Applications Gerald Oster
Pascal Molli
Sergiu Dumitriu
Ruben Mondejar
Collaborative editing
Optimistic replication
Distributed Interception
WETICE English 0 0
University of waterloo at INEX 2008: Adhoc, book, and link-the-wiki tracks Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) English 0 0
Unsupervised relation extraction by mining Wikipedia texts using information from the web Yulan Yan
Naoaki Okazaki
Yutaka Matsuo
Zhenglu Yang
Mitsuru Ishizuka
ACL English 0 0
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