WBBTMine 2008

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

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

Overview

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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

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===== 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

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==   * 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)

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===================== 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