Knowledge and Data Engineering
Uni Kassel

Call for Papers - Special Issue on "Web Mining"

Zeitschrift KI - Künstliche Intelligenz


Deadline for Announcement of Submission: November 10, 2006
Deadline for Full Paper Submission: November 16, 2006

Focus of the Special Issue

In the past years, a wide range of data mining techniques has been developed to explore the manifold information found in the World Wide Web. One of the important characteristics of the Web in addition to large data volumes is its dynamics, where content, structure and usage are changing over time.

Currently one can observe a movement in the web towards more interactive and user-centric applications within in the WWW. This shows up in the rise of related research areas like knowledge management, web communities, social networks and the mobile web. These areas raise new research issues for the web mining community. The aim of this special issue is to discuss recent results both from a theoretical and from an applied point of view.

Topics of interest

Topics of interest for this special issue include, but are not limited to
  • analysis of weblogs and blogs
  • discovering social structures and communities
  • predicting trends and user behavior
  • analysis of dynamic networks
  • using content of the web for modelling
  • discovering misuse and fraud
  • network analysis of social resource sharing systems
  • analysis of folksonomies or web 2.0 applications
  • deriving profiles from usage
  • personalized delivery of news and journals
  • semantic web personalization
  • semantic web technologies for recommender systems
  • ubiquitous data mining
  • applications

With regard to the focus of the journal, the relatedness of your submission to Artificial Intelligence will be an important evaluation criterion.

Submission Details

Contributions to all submission categories of the KI Journal are welcome (scientific contributions/state of the art overviews, project reports, book reviews, summaries of PhD theses, discussion statements, dictionary entries of interesting aspects). All submissions should be comprehensible for a broader AI audience.

The submissions should describe original contributions, and should not have been published or submitted elsewhere. Submissions based on conference papers should be extended and should include a reference to the corresponding proceedings. All submissions will be reviewed by at least two reviewers.

The maximal length of a scientific contribution/state of the art overview is strictly 7 pages in the final format (incl. figures), 3-4 pages for project reports, and 2 pages for the other categories. A LaTeX style file for the submission can be found here. Please indicate the character count, your address, email, and phone number upon your submission. Hint: 7 pages in the submission format correspond to approx. 30,000 characters (incl. references and short cv for each author) plus two figures.

More details on the journal (in German only) can be found at the KI Jornal Homapage, and more details for authors here. We recommend that you have a closer look at one of the previous volumes of the journal, eg at "Schwerpunkt: Adaptive Multimedia Retrieval" Vol.4, 2004, before submission.

For submissions, please contact directly the guest editors:

Guest Editors

Dr. Andreas Hotho
Prof. Dr. Gerd Stumme
Knowledge & Data Engineering Group
University of Kassel
Wilhelmshöher Allee 73
D-34121 Kassel
Germany

Mail: {hotho,stumme} <at> cs.uni-kassel.de

  
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