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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:
* 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 [log in to unmask]
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
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Andreas Hotho Tel.: +49-(0)561-804-6252
Universitaet Kassel Fax.: +49-(0)561-804-6259
Wilhelmshoeher Allee 73 mail: [log in to unmask]
34121 Kassel www: http://www.kde.cs.uni-kassel.de/hotho/
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