Koblenz, Germany, 23.-28. August 2009
 
Dr. Yiannis Kompatsiarsis (ITI) - Extracting Collective Intelligence from Social Content Analysis
 

Abstract:

Although current Web 2.0 applications allow and are based on annotations by the users or "tags", they miss an "Intelligence" layer over existing manually generated information that would enable the exploitation of the knowledge hidden in the user contributed content. The lecture will start by introducing the concept of Collective Intelligence generated by the analysis of user contributed content exploiting information coming from content, user, tags and social sources. Basic principles of graph theory, clustering and community detection will be introduced. The talk will continue with algorithms and approaches on social media analysis including image clustering, which jointly considers social, visual and semantic features, community detection in complex networks and exploiting communities for machine learning. The talk will also include example applications on summarization and recommendations.

Dr. Yiannis Kompatsiaris
ITI, Greece

Dr. Yiannis Kompatsiaris, received the Diploma degree in electrical engineering and the Ph.D. degree in 3-D model based image sequence coding from Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece in 1996 and 2001, respectively. He is a Senior Researcher with the Informatics and Telematics Institute, Thessaloniki and currently he is leading the Multimedia Knowledge Laboratory. His research interests include semantic multimedia analysis, social media analysis, multimedia and the Semantic Web, multimedia ontologies, knowledge-based analysis, context aware inference for semantic multimedia analysis, personalization and retrieval. He is the coauthor of 10 book chapters, 30 papers in refereed journals and more than 90 papers in international conferences. He has served as a regular reviewer for a number of international journals and conferences. He is a member of IEEE, ACM and IEE.