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WBBTMine 2008 : Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0


When Sep 15, 2008 - Sep 15, 2008
Where Antwerp, Belgium
Submission Deadline Jun 16, 2008
Notification Due Jul 16, 2008
Categories    web 2.0   data mining

Call For Papers

Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 (WBBTMine'08)
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

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

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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