TAGora sponsoring Hypertext 2009

The TAGora project is supporting the ACM Hypertext 2009″ conference, opening Monday 29th in Torino, Italy. TAGora will contribute to several aspects of HT09:

• a workshop on Tagging Dynamics in Online Communities
• a deployment of the Live Social Semantics application, in collaboration with the SocioPatterns project, following up on a successful deployment at the European Semantic Web Conference 2009
• a conference navigator and bookmarking system on top of the BibSonomy application
• a talk in track 2 by Andrea Capocci, Andrea Baldassarri, Vito Domenico Pietro Servedio and Vittorio Loreto, on Statistical properties of inter-arrival times distribution in social tagging systems
• a talk in track 2 by Rabeeh Abbasi and Steffen Staab, on RichVSM: enRiched Vector Space Models for Folksonomies

TAGora at WWW2009 and AIRWeb2009

TAGora was present at WWW2009 in Madrid with a paper on Evaluating Similarity Measures for Emergent Semantics of Social Tagging by Ben Markines, Ciro Cattuto, Fil Menczer, Dominik Benz, Andreas Hotho and Gerd Stumme. A paper on Social Spam Detection was presented by Ben Markines at the AIRWeb2009 workshop. Both contributions arise from a collaboration between TAGora members and the Indiana University School of Informatics.

TAGora@Koblenz wins Ted Nelson Newcomer award

The winter issue of the ACM SIGWEB newsletter features TAGora work by Klaas Dellschaft and Steffen Staab. Their contribution was awarded the Ted Nelson Newcomer Award at Hypertext 2008.

Dagstuhl Seminar

TAGora is sponsoring and participating in an ongoing Dagstuhl Seminar on Social Web Communities. The list of participants is available here.

TAGora at ISWC 2008

TAGora will be present at the 7th International Semantic Web Conference with two contributions in the research track:

• Ciro Cattuto, Dominik Benz, Andreas Hotho and Gerd Stumme, Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
• Martin Szomszor, Harith Alani, Ivan Cantador, Kieron O’Hara and Nigel Shadbolt, Semantic Modelling of User Interests based on Cross-Folksonomy Analysis