SAMT-MSM 2008

In cooperation with GI, ACM, IEEE, and Eurographics.
 * SAMT 2008 - CALL FOR RESEARCH PAPERS *
 * *SPECIAL SESSION ON MINING OF SOCIAL MEDIA* *
 * 3rd International Conference on *
 * Semantics And digital Media Technologies *
 * Koblenz, Germany, 3-5 December 2008 *
 * 3rd International Conference on *
 * Semantics And digital Media Technologies *
 * Koblenz, Germany, 3-5 December 2008 *
 * Semantics And digital Media Technologies *
 * Koblenz, Germany, 3-5 December 2008 *

Highly popular user-centered applications such as Blogs, Wikis, social bookmarking, photo and video tagging systems have come to be known as "Web 2.0". The reason for their immediate success is the fact that usability is becoming higher due to the implementation of new web 2.0 services. Web 2.0 sites generate large sets of weakly structured meta data. However, these data lack a formal grounding as given in the Semantic Web. The combination of both Web 2.0 and Semantic Web seems to be natural, but needs more work to bridge the semantic gap between both approaches.

Techniques to analyze network structures or weak knowledge representations like those found in the Web 2.0 have a long tradition in different disciplines, like Social Network Analysis, Machine Learning or Data Mining. Automatic approaches are necessary to extract the hidden information from the Web 2.0 applications, and to reveal the structure in a way that the Semantic Web community can benefit from it, with the final aim to support the end user. Using established methods to represent knowledge gained from the unstructured data will be beneficial for the Web 2.0 in that it provides Web 2.0 users with enhanced Semantic Web features to structure their data.

For this special session, we invite contributions with a special focus on the analysis of data from any kind of web 2.0 application, including Wikis, Blogs, Social Bookmarking Systems, and social online communities. The central goal is to reveal the structure which is hidden in the data by applying data mining, machine learning, or social network analysis methods.

Topics: ---


 * Network analysis and social structures detection in Web 2.0 systems


 * Ontology learning on and in the Web 2.0

communities
 * Discovering (cross system) associations, large social networks and


 * Predicting trends and user behavior (e.g. misuse and fraud/spam)

information from different modalities
 * Multimedia analysis; audio/visual processing; aggregating

For more information please visit the conference web site:

http://samt2008.uni-koblenz.de/index.php?page=calls_papers

--- Important Dates ---

Abstract Submission: June 6 Paper Submission: June 13 Notification: August 22 Camera Ready: September 15 Conference: December 3-5

Organizing Committee

General & local chairs: Dietrich Paulus, Koblenz, DE Steffen Staab, Koblenz, DE samt-chairs@uni-koblenz.de

Program chairs: Lynda Hardman, CWI, NL Alex Hauptmann, CMU, US David Duke, Leeds, UK samt-program-chairs@uni-koblenz.de

Demo & poster chairs: Michela Spagnuolo, Genova, IT Siegfried Handschuh, DERI, IE samt-poster-demo-chairs@uni-koblenz.de

Workshop & tutorial chairs: Fabio Ciravegna, U. Sheffield, UK David Duce, Oxford Brookes, UK samt-workshop-chair@uni-koblenz.de

Publicity chair: Marcin Grzegorzek, Koblenz, DE samt-publicity-chair@uni-koblenz.de

Registration chair: Ruth Götten, Koblenz, DE samt2008@uni-koblenz.de

Special Session chairs: Thomas Wittenberg, FhG Erlangen, DE, wbg@iis.fhg.de Andreas Hotho, Univ Kassel, DE, hotho@cs.uni-kassel.de	 This CfP was obtained from WikiCFP