WBBTMine 2008

WBBTMine 2008
Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0
Dates	Sep 15, 2008 (iCal) - Sep 15, 2008
Homepage:	www.kde.cs.uni-kassel.de/ws/wbbtmine2008
Location
Location:	Antwerp, Belgium
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Important dates
Submissions:	Jun 16, 2008
Notification:	Jul 16, 2008
Table of Contents

   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:
    * network analysis of social resources sharing systems
    * analysis of wikis and blogs
    * analysis of social online communities
    * discovering social structures and communities
    * analysis of network dynamics
    * discovering misuse and fraud
    * Web 2.0 personalization
    * Web 2.0 technologies for recommender systems
    * information retrieval in the Web 2.0
    * community detection
    * emergent semantics
    * Web 2.0 based ontology learning
    * predicting trends and user behavior
    * semantic association identification by link analysis
    * Web 2.0 crawling
    * mining information from distributed and re-combined Web 2.0 sources 
      / mash-ups
    * mobile Web 2.0: social search; mobile communities; ?
    * usage interfaces for mining: parallelization of Web and mobile interfaces; 
      mash-up interfaces
    * interactions between usage interfaces and data collection, mining, and presentation
    * privacy challenges in Web 2.0 and mobile Web 2.0 applications
    * applications of any of the above methods and technologies

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 (to be extended)
==================================
 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
 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
	

This CfP was obtained from WikiCFP