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Call for Papers -- AAAI 2010 Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence

From: Fei Wu <wufei@cs.washington.edu>
Date: Wed, 9 Dec 2009 16:36:51 -0800
Message-ID: <ce45ce2d0912091636i7ae404a4vacd62ed22fa98cb5@mail.gmail.com>
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>
* 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 GMT

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