[Elsnet-list] IJCAI'09 Workshop on User-contributed knowledge and Artificial Intelligence : Call for Participation

Razvan Bunescu bunescu at ohio.edu
Thu May 14 06:49:05 CEST 2009


                      IJCAI 2009 Workshop
  USER-CONTRIBUTED KNOWLEDGE AND ARTIFICIAL 
INTELLIGENCE: AN EVOLVING SYNERGY
                   Pasadena, CA - July 13, 2009
                http://lit.csci.unt.edu/~wikiai09

                     CALL FOR PARTICIPATION

OVERVIEW

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.

The goal of the workshop is to foster the research and dissemination 
of ideas on the mutually beneficial interaction between AI and
repositories of user-contributed knowledge. We encourage the
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

Topics covered by this workshop include, but are not limited to:
- Using user-contributed knowledge as a source of training data for AI 
tasks
- Automatic methods for improving the quality of user contributions
- Routing tasks to people who have the expertise to perform them well
- Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC, ODP)
- Extracting annotated data from user contributions
- Enriching user contributions with new types of structural information
- User-contributed knowledge and the Semantic Web / Web 2.0
- Automatic extraction and use of cross-lingual information


PARTICIPATION

Participation in the workshop is open to all interested parties. To register
for the workshop, please use the IJCAI registration site at
https://www.aaai.org/Forms/ijcai-registration-form.php


WORKSHOP FORMAT

This one-day long workshop will consist of presentations of research 
papers, and invited talks by Eugene Agichtein (Emory University) and
Timothy Chklovski (Factual Inc.).


ACCEPTED PAPERS

The list of accepted papers and presentations can be found at the 
workshop web site at:
http://lit.csci.unt.edu/~wikiai09/index.php/Accepted_papers


ORGANIZING COMMITTEE

Razvan Bunescu, Ohio University (bunescu at ohio.edu) 
Evgeniy Gabrilovich, Yahoo! Research (gabr at yahoo-inc.com)
Rada Mihalcea, University of North Texas (rada at cs.unt.edu) 
Vivi Nastase, EML Research (vivi.nastase at eml-r.villa-bosch.de)

PROGRAM COMMITTEE

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


ADDITIONAL INFORMATION

For additional information about the workshop please contact the 
organizers or visit the workshop website at http://lit.csci.unt.edu/~wikiai09


More information about the Elsnet-list mailing list