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CKCaR 2009 : 1st International Workshop on Collective Knowledge Capturing and Representation

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Link: http://www.uni-koblenz.de/confsec/CKCaR09/
 
When Sep 1, 2009 - Sep 1, 2009
Where Redondo Beach, California, USA
Submission Deadline Jun 15, 2009
Notification Due Jul 15, 2009
Final Version Due Aug 1, 2009
Categories    collective knowledge   information retrieval   knowledge representation   collective intelligence
 

Call For Papers

1st International Workshop on Collective Knowledge Capturing and Representation - CKCaR'09

== CALL FOR PAPERS ==

http://www.uni-koblenz.de/confsec/CKCaR09/

held in conjunction with
K-CAP'09, September 1-4, Redondo Beach, California, USA

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Important Dates
---------------
** Submission of papers: June 15th, 2009 **
Notification of acceptance: July 15th, 2009
Camera ready papers: August 1st, 2009
CKCaR Workshop at K-CAP : September 1st, 2009


Workshop Description
--------------------

Massive amount of data and information created by the collaboration and competition of many individuals is available on
the Web. Collective Knowledge is generated in a process that includes analysis and, in many cases, integration of
multiple data sources. However, integration of massive or multiple data sources is just a prerequisite for creating
Collective Knowledge. As named by Tom Gruber, this is Collected Knowledge (or Collected Intelligence). It becomes
Collective Knowledge when new levels of understanding of such knowledge emerge, when "wisdom of the masses" creates new
values.

The focus of the workshop lies on how new knowledge can be discovered in such datasets, which processes are to be used
to harvest the new knowledge, how and in which order the processes are to be applied, and finally, how the resulting
Collective Knowledge can be represented.
Not all models and representations for Collective Knowledge are created equal and what is easy and natural in one model
can be even impossible in the other one. Within the scope of the CKCaR workshop we are specifically interested in the
processes that lead to the capturing and creation of this new knowledge and models for representing it. We encourage the
presentation and exploration of original work in capturing and representing collective knowledge and expect to stimulate
further research in this area.

More information at:
http://www.uni-koblenz.de/confsec/CKCaR09/


Workshop Topics
---------------

Topics of the workshop are within the area of knowledge capturing and representation on the massive scale. They include
but are not limited to:

* Methods for extracting Collective Knowledge from mass data input
* Analysis and processing of mass data
* Representation of Collective Knowledge (methods, models, techniques)
* Modeling and Handling of inconsistencies or contradictions in Collective Knowledge
* Applications that leverage of Collective Knowledge
* Measuring of the quality of Collective Knowledge


Paper Submissions
-----------------
We invite submissions of full technical papers not exceeding 8 pages.

Submissions in PDF format are via EasyChair system at:
* http://www.easychair.org/conferences/?conf=ckcar09

Submissions will be reviewed by at least three reviewers from the PC members and external reviewers.
Authors of accepted papers will be invited to present their papers in the workshop.
Papers must be formatted using the AAAI conference style.
Style files for latex and Word can be obtained from the K-CAP 2009 web page (http://kcap09.stanford.edu/).


Program Committee
-----------------

* Mathieu d'Aquin, Open University, UK
* Christopher Brewster, Aston University, UK
* Oren Etzioni, University of Washington, USA
* Olivier Gerbe, HEC Montreal, Canada
* Bettina Hoser, University of Karlsruhe, Germany
* Marta Sabou, Open University, UK
* Vojtech Svatek, University of Economics, Prague, Czech Republic
* Dan G. Tecuci, University of Texas at Austin, USA


Organizers
----------

* Maciej Janik, University of Koblenz-Landau, Germany, janik[at]uni-koblenz.de (main contact)
* Ansgar Scherp, University of Koblenz-Landau, Germany, scherp[at]uni-koblenz.de
* Yiannis Kompatsiaris, ITI, Thessaloniki, Greece, ikom[at]iti.gr

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