USER-CONTRIBUTED KNOWLEDGE AND ARTIFICIAL INTELLIGENCE: AN EVOLVING SYNERGY
July 2009, Pasadena, California, USA
CALL FOR PAPERS
The performance of an Artificial Intelligence system often depends on the amount of world knowledge available to it. During the last decade, the AI community has witnessed the emergence of a number of highly structured knowledge repositories whose collaborative nature has led to a dramatic increase in the amount of world knowledge that can now be exploited in AI applications. Arguably, the best-known repository of user-contributed knowledge is Wikipedia. Since its inception less than eight years ago, it has become one of the largest and fastest growing online sources of encyclopedic knowledge. One of the reasons why Wikipedia is appealing to contributors and users alike is the richness of its embedded structural information: articles are hyperlinked to each other and connected to categories from an ever expanding taxonomy; pervasive language phenomena such as synonymy and polysemy are addressed through redirection and disambiguation pages; entities of the same type are described in a consistent format using infoboxes; related articles are grouped together in series templates.
Many more repositories of user-contributed knowledge exist besides Wikipedia. Collaborative tagging in Delicious and community-driven question answering in Yahoo! Answers and Wiki Answers are only a few examples of knowledge sources that, like Wikipedia, can become a valuable asset for AI researchers. Furthermore, AI methods have the potential to improve these resources, as demonstrated recently by research on personalized tag recommendations, or on matching user questions with previously answered questions. Consequently, we believe the time is ripe for a dedicated event focused on the synergy between repositories of user-contributed knowledge and the research in Artificial Intelligence.
The workshop is intended to be highly interdisciplinary. We encourage participation of researchers from different perspectives, including (but not limited to) machine learning, computational linguistics, information retrieval, information extraction, question answering, knowledge representation, and others. We also encourage participation of researchers from other areas who might benefit from the use of large bodies of machine-readable knowledge.
Topics covered by this workshop include, but are not limited to:
* Using user-contributed knowledge as a source of training data for
* Automatic methods for improving the quality of user contributions
* Routing tasks to people who have the expertise to perform them
* Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC,
* Extracting annotated data from user contributions
* Enriching user contributions with new types of structural
* User-contributed knowledge and the Semantic Web / Web 2.0
* Automatic extraction and use of cross-lingual information
* Computerized use of satellite Wiki projects such as Wiktionary,
Wikibooks or Wikispecies
The workshop is planned as a one-day event (full day), which will consist of an invited talk, paper and demo presentations, and a discussion panel.
We invite the submission of regular full papers (up to 6 pages), short papers reporting on late-breaking results (up to 3 pages), and descriptions of system demonstrations (up to 1 page) using the IJCAI style. Submissions that have been accepted for publication elsewhere or are under review for another conference must clearly state so on the front page of the paper.
Submissions should be properly anonymized to make them suitable for double-blind review. The papers will be submitted through the following EasyChair site: http://www.easychair.org/conferences/?conf=wikiai09
Deadline for long paper submission March 6th, 2009 Deadline for short papers and demos March 27th, 2009 Notification of acceptance April 17th, 2009 Camera-ready papers due at IJCAI May 8th, 2009 Workshop date between July 11 and July 13, 2009
(not yet finalized)
Razvan Bunescu, Ohio University (http://ace.cs.ohio.edu/~razvan) Evgeniy Gabrilovich (http://research.yahoo.com/~gabr) Rada Mihalcea, University of North Texas (http://www.cs.unt.edu/~rada) Vivi Nastase, EML Research (http://www.eml-r.org/~nastase)
1. Michele Banko, University of Washington 2. Misha Bilenko, Microsoft Research 3. Yunbo Cao, Microsoft Research 4. Timothy Chklovski, Structured Commons 5. Andras Csomai, Google 6. Silviu Cucerzan, Microsoft Research 7. James Fan, IBM 8. Iryna Gurevych, TU Darmstadt, Germany 9. Eduard Hovy, USC / Information Sciences Institute 10. Rohit Kate, University of Texas at Austin 11. Ravi Kumar, Yahoo! Research 12. Oren Kurland, Technion, Israel 13. Lillian Lee, Cornell University 14. Daniel Marcu, USC / Information Sciences Institute 15. Shaul Markovitch, Technion, Israel 16. Hwee Tou Ng, National University of Singapore 17. Vincent Ng, University of Texas at Dallas 18. Bo Pang, Yahoo! Research 19. Patrick Pantel, Yahoo! Research 20. Marius Pasca, Google 21. Simone Paolo Ponzetto, EML Research, Germany 22. John Prager, IBM 23. Michael Strube, EML Research, Germany 24. Mihai Surdeanu, Yahoo! Research, Barcelona 25. Peter Turney, National Research Council, Canada 26. Dan Weld, University of Washington 27. Michael Witbrock, CYC 28. Qiang Yang, HKUST, Hong Kong 29. Hugo Zaragoza, Yahoo! Research
For additional information about the workshop, please visit the workshop Web site at http://lit.csci.unt.edu/~wikiai09