Elsevier announces Semantic Web Challenge winners

Winners and runners up demonstrate the use of semantic web techniques to create additional value from data sets.

The Challenge, held at the International Semantic Web Conference in Germany, was sponsored by Elsevier and prizes were awarded to participants in two separate tracks.

The Open Track showcased the use of the semantic web to process low value data sources into higher value ones.  The winner, BOTTARI: Location based Social Media Analysis with Semantic Web combines multiple sources (local views along with emotive analysis of live streamed blog and Twitter posts) to deliver an augmented reality of the local Korean dining scene.

The Billions Triples Track was looking for inventive ways of using a specific, large data set provided by the Challenge organisers.  The winner was  SchemEX - Web-Scale Indexed Schema Extraction of Linked Open Data  which featured the design of a smart index generation algorithm to be applied to the data set.

More information on the Challenge and the oither winners available from Elsevier.