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Elsevier sponsors 2010 Semantic Web Challenge
Date:11/16/2010

New York, 16 November 2010 Elsevier announced the winners of the 2010 Semantic Web Challenge. The Elsevier sponsored Challenge occurred at the International Semantic Web Conference held in Shanghai, China from 7-11 November, 2010. A jury consisting of seven leading experts from both academia and industry awarded the four best applications with cash prizes exceeding 3000 Euro in total.

The semantic web is an exciting new direction in Artificial Intelligence, aiming to add meaning to information on a web-size scale. The field has been evolving over the last decade, and the Semantic Web Challenge showcases some of the most promising and exciting new applications emerging from this area.

Over the last eight years, the Challenge has attracted more than 140 entries. All submissions are evaluated rigorously by a jury composed of leading scientists and experts from industry in a 3 round knockout competition consisting of a poster session, oral presentations and live demonstrations.

Organized this year by Christian Bizer from the Freie Universitt Berlin, Germany, and Diana Maynard from the University of Sheffield, UK, the Semantic Web Challenge consists of two categories: "Open Track" and "Billion Triples Track." The Open Track requires that the applications can be used by ordinary people or scientists and must make use of the meaning of information on the web. The Billion Triples track requires applications to scale up to deal with huge amounts of information which has been gathered from the open web.

The winners of the 2010 Open Track challenge were the team from Stanford University comprising of Clement Jonquet, Paea LePendu, Sean M. Falconer, Adrien Coulet, Natalya F. Noy, Mark A. Musen, and Nigam H. Shah for "NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources". Their entry provides very clear benefits to the biomedical community, bringing together knowledge from many different entities on the web with
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Contact: Jason Awerdick
j.awerdick@elsevier.com
212-633-3103
Elsevier
Source:Eurekalert

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