-----------------------------------------------------------------
Workshop on Web Mining 2006 (WebMine) --------- 1st Call for Papers --------- Workshop at ECML/PKDD 2006 September 18th, 2006, Berlin, Germany http://www.kde.cs.uni-kassel.de/ws/webmine2006/ ----------------------------------------------------------------- \_____ Important Dates Submissions: June 28 Notifications: August 2 Camera ready: August 9 Workshop date: September 18 \_____ Objective The World Wide Web is a rich source of information about human behavior. It contains large amount of data organized via interconnected Web pages, traces of information search, user feedback on items of interest, etc. One of the important characteristics of the Web in addition to large data volumes is its dynamics, where content, structure and usage is changing over time. This shows up in the rise of related research areas like communities of practice, knowledge management, web communities, and peer to peer. In particular the notion of collaborative work and thus the need of its systematic analysis become more and more important. For instance, to develop effective web applications, it is essential to analyze patterns hidden in the usage of web resources, their contents and their interconnections. Machine Learning and Data mining methods have been used extensively to find patterns in usage of the network by exploiting both contents and link structures. \_____ Topics of Interest Topics of interest include, but are not limited to: * analysis of weblogs and blogs * semantic association identification by link analysis * discovering social structures and communities * predicting trends and user behavior * analysis of dynamic networks * using prior knowledge and the semantic web for user modelling * using content of the web for modelling * applications in e-commerce, education * discovering misuse and fraud * combining the web with data from other sources * network or link analysis of social resources sharing systems * analysis of folksonomies or web 2.0 application * deriving profiles from usage * personalized delivery of news and journals * semantic web personalization * semantic web technologies for recommender systems \_____ Submissions We invite two types of submissions for this workshop: * Technical papers (maximum 12 pages) * Short position papers (maximum 6 pages) Submitted papers will be peer-reviewed and selected on the basis of these reviews. Accepted papers will be presented at the workshop. All submissions should be made electronically if possible, by email attachment and preferably in Postscript or PDF format. All submissions must be sent to: [EMAIL PROTECTED] Although not required for the initial submission, we recommend to follow the format guidelines of ECML/PKDD (Springer LNCS -- LaTeX Style File), as this will be the required format for accepted papers. The workshop proceedings will be distributed during the workshop. We plan to issue a post workshop publication of selected papers by Springer Lecture Notes. \_____ Organizing Committee * Bettina Berendt, Institute of Information Systems of Humboldt University Berlin, Germany * Andreas Hotho, Group of Knowledge and Data Engineering, University of Kassel, Germany * Dunja Mladenic, J. Stefan Institute, Ljubljana, Slovenia * Giovanni Semeraro, Department of Informatics, University of Bari, Italy \_____ Program Committee * Sarabjot Anand, UK * Mathias Bauer, Germany * Bettina Berendt, Germany * Janez Brank, Slovenia * Michelangelo Ceci, Italy * Marco Degemmis, Italy * Miha Grcar, Slovenia * Marko Grobelnik, Slovenia * Andreas Hotho, Germany * Pasquale Lops, Italy * Dunja Mladenic, Slovenia * Bamshad Mobasher, USA * Ion Muslea, USA * Giovanni Semeraro, Italy * Maarten van Someren, Netherlands * Myra Spiliopoulou, Germany * Gerd Stumme, Germany -- --------------------------------------------------------------------- Andreas Hotho Tel.: +49-(0)561-804-6252 Universitaet Kassel Fax.: +49-(0)561-804-6259 Wilhelmshoeher Allee 73 mail: [EMAIL PROTECTED] 34121 Kassel www: http://www.kde.cs.uni-kassel.de/hotho/ Try our bookmark and publication system: http://www.bibsonomy.org/ ---------------------------------------------------------------------
