GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Modern Information Retrieval
Support vector machines classification with a very large-scale taxonomy
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Discovering missing links in Wikipedia
Proceedings of the 3rd international workshop on Link discovery
Proceedings of the 15th international conference on World Wide Web
OntoWiki: community-driven ontology engineering and ontology usage based on Wikis
Proceedings of the 2006 international symposium on Wikis
The two cultures: mashing up web 2.0 and the semantic web
Proceedings of the 16th international conference on World Wide Web
IkeWiki: A Semantic Wiki for Collaborative Knowledge Management
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Simple Algorithms for Predicate Suggestions Using Similarity and Co-occurrence
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Making more wikipedians: facilitating semantics reuse for wikipedia authoring
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
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Wikipedia, one of the best-known wikis and the world’s largest free online encyclopedia, has embraced the power of collaborative editing to harness collective intelligence. However, using such a wiki to create high-quality articles is not as easy as people imagine, given for instance the difficulty of reusing knowledge already available in Wikipedia. As a result, the heavy burden of upbuilding and maintaining the ever-growing online encyclopedia still rests on a small group of people. In this article, we aim at facilitating wiki authoring by providing annotation recommendations, thus lightening the burden of both contributors and administrators. We leverage the collective wisdom of the users by exploiting Semantic Web technologies with Wikipedia data and adopt a unified algorithm to support link, category, and semantic relation recommendation. A prototype system named EachWiki is proposed and evaluated. The experimental results show that it has achieved considerable improvements in terms of effectiveness, efficiency and usability. The proposed approach can also be applied to other wiki-based collaborative editing systems.