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2nd CFP: ECML/PKDD Workshop WBBTMine'08


-------------- Apologies for cross-postings -------------------------------

                    2nd Call for Papers
   Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 (WBBTMine'08)
         http://www.kde.cs.uni-kassel.de/ws/wbbtmine2008/
   Workshop at ECML/PKDD 2008 - Antwerp, Belgium, 15 Sept. 2008

Important dates
===============

  • Paper submission deadline: June 16
  • Author Notification: July 16
  • Camera Ready Papers: August 14
  • Workshop: September 15

Overview

Many Web 2.0 applications have rapidly emerged on the Web. This indicates a
currently ongoing grass-root creation of knowledge spaces on the Web. The
reason for the success of cooperative Web tools (wikis, blogs, etc.) and
resource sharing (social bookmark systems, photo sharing systems, etc.) lies
mainly in the fact that no specific skills are needed for publishing and
editing. Web 2.0 applications are a very interesting application area for
data mining. Unlike in traditional data mining scenarios, data does not
emerge from a small number of (heterogeneous) data sources, but virtually
from millions of different sources. As there is only minimal coordination,
these sources can overlap or diverge in many ways. These fundamental
features of heterogeneity and independence, known from collaborative
filtering, are not limited to ratings and recommendations but extend to
arbitrary complex data and data mining tasks. Steps into this new and
exciting application area are the analysis of this new data, then the
adaptation of well-known data mining and machine learning algorithm and
finally the development of new algorithms.

 As research analyzing Wikis, Blogs and the structure underlying Social
Bookmarks matures (and Web 2.0 workshops and conferences begin to
proliferate), this workshop seeks contributions focused on state-of-the-art
data mining algorithm and machine learning methods on Web 2.0 data.
Papers describing new algorithms working on Web 2.0 data or work discussing
aspects on the intersection of Web 2.0 and Knowledge Discovery are also
highly welcome. In short, we want to accelerate the process of identifying
the power of advanced data mining operating on Web 2.0 data, as well as the
process of advancing data mining through lessons learned in analyzing these
new data.

Topics of interest
==================
 include, but are not limited to:

Workshop chairs
===============

  • Bettina Berendt, K.U. Leuven, Belgium
  • Natalie Glance, Google, USA
  • Andreas Hotho, University of Kassel, Germany ---> Please contact us at wbbtmine08@gmail.com

Program committee
=================
 Sarabjot Singh Anand, University of Warwick, UK
 Mathias Bauer, mineway, Germany
 Janez Brank, Jozef Stefan Institute, Slovenia
 Michelangelo Ceci, University of Bari, Italy
 Ed H. Chi, PARC, USA
 Brian Davison, Lehigh University, USA
 Marco de Gemmis, University of Bari, Italy
 Miha Grcar, Jozef Stefan Institute, Slovenia
 Marko Grobelnik, Jozef Stefan Institute, Slovenia
 Pasquale Lops, University of Bari, Italy
 Ernestina Menasalvas, Universidad Politecnica de Madrid, Spain
 Dunja Mladenic, Jozef Stefan Institute, Slovenia
 Ion Muslea, SRI International, USA
 Giovanni Semeraro, University of Bari, Italy
 Ian Soboroff, National Institute of Standards and Technology, USA
 Myra Spiliopoulou, Otto-von-Guericke-Universitaet Magdeburg, Germany
 Gerd Stumme, University of Kassel, Germany
 Maarten van Someren, Universiteit van Amsterdam, The Netherlands
 Michael Wurst, University of Dortmund, Germany