Elsevier today announced the winners of the Semantic Web Challenge. Participants in the Challenge applied semantic web techniques in building online end-user applications that integrate, combine and deduce information needed to assist users in performing tasks. The Challenge took place at the International Semantic Web Conference (ISWC 2011) in Bonn, Germany, from October 23-27, 2011.
The 2011 Semantic Web Challenge, sponsored by Elsevier, was co-chaired by Prof. Dr. Christian Bizer of the Free University Berlin and Dr. Diana Maynard of the University of Sheffield, and consisted of two tracks: the Open Track and the Billion Triples Track. . Both Challenges were open to researchers from corporations as well as academic researchers. A jury of academic and industrial experts determined the winners. The awards consisted of cash prizes exceeding 2,500 Euros in total.
Ten participants competed in the Open Track which showcased how the use of the semantic web can process low-value real world data sources into higher value ones. Five competitors participated in the Billions Triples Track. The latter track required participants to make use of a specific, very large data set provided by the organizers.
First Prize Open Track: BOTTARI; Location based Social Media Analysis with Semantic Web, by the multidisciplinary team of Irene Celino, Daniele Dell’Aglio, Emanuele Della Valle, Marco Balduini, Yi Huang, Tony Lee, Seon-Ho Kim, and Volker Tresp. This winning application combines local views with emotive analysis of live streaming twitter and blog posts to give the end user a new augmented reality of the local Korean dining scene.
Billion Triples Winner: SchemEX — Web-Scale Indexed Schema Extraction of Linked Open Data by Mathias Konrath, Thomas Gottron, and Ansgar Scherp. They were awarded the prize for the design of a smart index generation algorithm which they successfully applied to build a very concise lookup index for the Billion Triples data set.
Second Prize Open Track: seevl: mining music connections to bring context, search and discovery to the music you like by Alexandre Passant. This entry combines multiple sources and knowledge structures, and delivers real world value add information to YouTube music videos through its Google Chrome plug-in.
Honourable Mention Open Track: The Linked Sensor Middleware — Connecting the real world and the SemanticWeb by Danh Le-Phuoc, Hoan Nguyen Mau Quoc, Josiane Xavier Parreira, and Manfred Hauswirth. Their application uses a large number of streaming real world sensor data sources, mapping them into RDF, and providing an integrated live view on the data.
You can take a look at material from all of the participants on the Semantic Web Challenge Web Page