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------------- Apologies for multiple cross-postings ---------------------

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Web Mining 2.0

Workshop co-located with ECML/PKDD 2007
September 21, 2007 - Warsaw, Poland

http://www.kde.cs.uni-kassel.de/ws/ecmlpkdd2007/
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Deadline extension and announcement of Invited Talk **

\___ Important Dates

• Paper submission deadline: July 7, 2007
• Notification of acceptance/rejection: July 21, 2007
• Camera-ready papers: July 28, 2007
• Workshop: September 21, 2007

\___ News: Invited Talk

The workshop will explore connections between Web 2.0, mobile Social Media,
and mining in a discussion of the invited talk by
    Georg Groh, Technical University of Munich, Germany:
       Using context models and models for contextually instantiated
       social relations for mobile social computing services

\___ Objectives

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 apparent success of the upcoming tools for Web cooperation (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. As these systems grow larger, however, the users feel the need for more structure for better organizing their resources. For instance, approaches for tagging tags, or for bundling them, are currently discussed on the corresponding news groups. Furthermore, recent developments show an increasing trend for Web 2.0 applications to become "ubiquitous" also beyond the Web; in particular, Web and mobile usage interfaces to social platforms are increasingly being combined.

The machine learning community has a long tradition in extracting structure from large scale data collections. With the Web 2.0, it faces (at least) three new challenges:
    1. New data types appear, for which there exist currently no out-of-the-box data mining solutions, for instance for the triadic hypergraph structure of folksonomies or for documents in wikis that permanently change over time.
    2.The majority of Web 2.0 users have no skills in knowledge engineering and data mining. Tool support targeted directly at the end user has thus to hide the complexity usually involved in the different data mining steps (eg, data cleaning, parameter settings).
    3. Mobile Web 2.0 applications have the potential to offer huge amounts of different types of data: localization is added to temporalization.

Beside submissions that address one of these challenges, papers discussing other aspects on the intersection of Web 2.0 and Knowledge Discovery are also highly welcome.

\___ Topics of Interest

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 ("mashed-up") Web 2.0 sources
• 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
• ...

We also encourage submissions which relate research results from other areas to the workshop topics.

\___ Workshop Organising Committee

• Bettina Berendt, Institute of Information Systems of Humboldt University Berlin, Germany
• Dunja Mladenic, J.Stefan Institute, Ljubljana, Slovenia
• Giovanni Semeraro, Department of Informatics, University of Bari, Italy
• Myra Spiliopoulou, Institute of Technical and Business Information Systems, Faculty of Computer Science, Otto-von-Guericke-Universitaet Magdeburg, Germany,
• Gerd Stumme, Hertie Chair of Knowledge and Data Engineering, Universität Kassel, Germany

\___ Program Committee

• Sarabjot Anand, UK
• Andreas Hotho, Germany
• Maarten van Someren, Netherlands
• Janez Brank, Slovenia
• Michelangelo Ceci, Italy
• Marco de Gemmis, Italy
• Natalie Glance, USA
• Matthew Hurst, USA
• Marko Grobelnik, Slovenia
• Pasquale Lops, Italy
• Ion Muslea, U.S.A.
• Nicolas Nicolov, USA
• George Paliouras, Greece

\___ Submission and Proceedings

We invite two types of submissions for this workshop:

• Technical papers in any of the topics of interest of the workshop (but not limited to them)
• Short position papers in any of the topics of interest of the workshop (but not limited to them)

Submitted papers will be peer-reviewed and selected on the basis of these reviews. Accepted papers will be presented at the workshop.

Format requirements for submissions of papers are:

• Maximum 12 pages, including title page and bibliography for technical papers.
• Maximum 6 pages, including title page and bibliography for short position papers.