- From: Fei Wu <wufei@cs.washington.edu>
- Date: Wed, 9 Dec 2009 16:36:51 -0800
- To: wiki-research@www.wikisym.org, semantic-web@w3.org, machine-learning@egroups.com, ml@isle.org, ml-news@googlegroups.com
- Cc: Vivi Nastase <Vivi.Nastase@eml-r.villa-bosch.de>, Roberto Navigli <navigli@di.uniroma1.it>, Simone Paolo Ponzetto <ponzetto@cl.uni-heidelberg.de>
- Message-ID: <ce45ce2d0912091636i7ae404a4vacd62ed22fa98cb5@mail.gmail.com>
* Apologies for cross-postings. Please help to send to interested colleagues and students. * ------------------------------------------------------------------------------------------------------------------------------- AAAI-2010 Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence Atlanta, Georgia July 11th or 12th 2010 http://hal.di.uniroma1.it/WikiAI-10/index.php *** Submission deadline: March 29th 2010 *** In recent years, collaborative endeavours facilitated by the Internet seem to have the answer for the knowledge acquisition bottleneck. More and more resources and collaborative endeavours have started to be incorporated and exploited as knowledge repositories for various tasks. Wikipedia with its many facets and knowledge bearing structuring, the tags associated with images in Flickr, question-answer collections in Yahoo! Answers are a few examples of such information sources. Amazon's Mechanical Turk gives researchers access to "human computation" power, and is being used more and more as a solution to the difficult problems of large scale evaluations and data annotation, both crucial for the continuous development of the AI and NLP fields. AI and NLP have the potential to both exploit and dig deeper in the mines of collective knowledge, and to help build them, by providing tools for helping generate more, better and consistent content. As with the previous events, we believe work in this area should be encouraged, followed and popularized, to promote the synergy between repositories of user-contributed knowledge and 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, human computer interaction and others. We also encourage participation of researchers from other areas who might benefit from the use of large bodies of machine-readable knowledge. We plan a follow up special issue on the topic in a relevant journal. ______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 (both supervised and unsupervised) * Automatic methods for improving the quality of user contributions * Modeling tasks for human computation * Integrating different resources (e.g. Wikipedia and WN/Cyc/other ontologies) * 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 * Computerized use of satellite Wiki projects such as Wiktionary, Wikibooks or Wikispecies * Human computation like Amazon Mechanical Turk to help AI tasks * Data mining on collaboratively-contributed resources * Innovative graph algorithms exploiting collaborative resources * Word Sense Disambiguation with Wikipedia, Wiktionary, etc. ______Important Dates Submission deadline: March 29th 2010 Notification date: April 15th 2010 Camera-ready deadline: April 30th 2010 Workshop date: July 11th or 12th 2010 ______Submission The review process is *not* double-blinded. Submissions should be 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). Please refer to the AAAI author instruction page for the templates. _______Organizers * Vivi Nastase, EML Research * Roberto Navigli, University of Rome "La Sapienza" * Fei Wu, University of Washington
Received on Thursday, 10 December 2009 07:50:10 UTC