2nd CFP: ECML/PKDD Workshop WBBTMine'08
Andreas Hotho <[email protected]> Wed, 04 Jun 2008 14:57:26 +0200
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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:
* 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 [email protected]
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
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<p>------------<wbr>-- Apologies for cross-postings ------------<wbr>---------<wbr>-------<br>
<br>
2nd Call for Papers<br>
Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 (WBBTMine'08)<br>
<a href="http://www.kde.cs.uni-kassel.de/ws/wbbtmine2008/">http://www.kde.<wbr>cs.uni-kassel.<wbr>de/ws/wbbtmine20<wbr>08/</a><br>
Workshop at ECML/PKDD 2008 - Antwerp, Belgium, 15 Sept. 2008<br>
<br>
Important dates<br>
============<wbr>===<br>
* Paper submission deadline: June 16<br>
* Author Notification: July 16<br>
* Camera Ready Papers: August 14<br>
* Workshop: September 15<br>
<br>
Overview<br>
========<br>
Many Web 2.0 applications have rapidly emerged on the Web. This<br>
indicates a currently ongoing grass-root creation of knowledge spaces<br>
on the Web. The reason for the success of cooperative Web tools (wikis,<br>
blogs, etc.) and resource sharing (social bookmark systems, photo<br>
sharing systems, etc.) lies mainly in the fact that no specific skills<br>
are needed for publishing and editing. Web 2.0 applications are a very<br>
interesting application area for data mining. Unlike in traditional data<br>
mining scenarios, data does not emerge from a small number of<br>
(heterogeneous) data sources, but virtually from millions of different<br>
sources. As there is only minimal coordination, these sources can<br>
overlap or diverge in many ways. These fundamental features of<br>
heterogeneity and independence, known from collaborative filtering, are<br>
not limited to ratings and recommendations but extend to arbitrary<br>
complex data and data mining tasks. Steps into this new and exciting<br>
application area are the analysis of this new data, then the adaptation<br>
of well-known data mining and machine learning algorithm and finally<br>
the development of new algorithms.<br>
<br>
As research analyzing Wikis, Blogs and the structure underlying Social<br>
Bookmarks matures (and Web 2.0 workshops and conferences begin to<br>
proliferate)<wbr>, this workshop seeks contributions focused on<br>
state-of-the-<wbr>art data mining algorithm and machine learning methods on<br>
Web 2.0 data. Papers describing new algorithms working on Web 2.0 data<br>
or work discussing aspects on the intersection of Web 2.0 and Knowledge<br>
Discovery are also highly welcome. In short, we want to accelerate the<br>
process of identifying the power of advanced data mining operating on<br>
Web 2.0 data, as well as the process of advancing data mining through<br>
lessons learned in analyzing these new data.<br>
<br>
Topics of interest<br>
============<wbr>======<br>
include, but are not limited to:<br>
* network analysis of social resources sharing systems<br>
* analysis of wikis and blogs<br>
* analysis of social online communities<br>
* discovering social structures and communities<br>
* analysis of network dynamics<br>
* discovering misuse and fraud<br>
* Web 2.0 personalization<br>
* Web 2.0 technologies for recommender systems<br>
* information retrieval in the Web 2.0<br>
* community detection<br>
* emergent semantics<br>
* Web 2.0 based ontology learning<br>
* predicting trends and user behavior<br>
* semantic association identification by link analysis<br>
* Web 2.0 crawling<br>
* mining information from distributed and re-combined Web 2.0<br>
sources / mash-ups<br>
* mobile Web 2.0: social search; mobile communities; ?<br>
* usage interfaces for mining: parallelization of Web and mobile<br>
interfaces; mash-up interfaces<br>
* interactions between usage interfaces and data collection, mining,<br>
and presentation<br>
* privacy challenges in Web 2.0 and mobile Web 2.0 applications<br>
* applications of any of the above methods and technologies<br>
<br>
Workshop chairs<br>
============<wbr>===<br>
* Bettina Berendt, K.U. Leuven, Belgium<br>
* Natalie Glance, Google, USA<br>
* Andreas Hotho, University of Kassel, Germany<br>
---> Please contact us at <a href="mailto:wbbtmine08%40gmail.com">wbbtmine08@gmail.<wbr>com</a><br>
<br>
Program committee<br>
============<wbr>=====<br>
Sarabjot Singh Anand, University of Warwick, UK<br>
Mathias Bauer, mineway, Germany<br>
Janez Brank, Jozef Stefan Institute, Slovenia<br>
Michelangelo Ceci, University of Bari, Italy<br>
Ed H. Chi, PARC, USA<br>
Brian Davison, Lehigh University, USA<br>
Marco de Gemmis, University of Bari, Italy<br>
Miha Grcar, Jozef Stefan Institute, Slovenia<br>
Marko Grobelnik, Jozef Stefan Institute, Slovenia<br>
Pasquale Lops, University of Bari, Italy<br>
Ernestina Menasalvas, Universidad Politecnica de Madrid, Spain<br>
Dunja Mladenic, Jozef Stefan Institute, Slovenia<br>
Ion Muslea, SRI International, USA<br>
Giovanni Semeraro, University of Bari, Italy<br>
Ian Soboroff, National Institute of Standards and Technology, USA<br>
Myra Spiliopoulou, Otto-von-Guericke-<wbr>Universitaet Magdeburg, Germany<br>
Gerd Stumme, University of Kassel, Germany<br>
Maarten van Someren, Universiteit van Amsterdam, The Netherlands<br>
Michael Wurst, University of Dortmund, Germany<br>
<br>
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