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

a large corpus of scientific literature though the clever application of semantic web technologies and principles.

The second prize in the open track was awarded to the team from Rensselaer Polytechnic Institute comprising of Dominic DiFranzo, Li Ding, John S. Erickson, Xian Li, Tim Lebo, James Michaelis, Alvaro Graves, Gregory Todd Williams, Jin Guang Zheng, Johanna Flores, Zhenning Shangguan, Gino Gervasio, Deborah L. McGuinness and Jim Hendler, for the development of "TWC LOGD: A Portal for Linking Open Government Data" a massive semantic effort in opening up and linking all the public US government data, and providing the ecosystem and education for re-use.

The third prize in the 2010 Open Track was won by a combined team from the Karlsruhe Institute of Technology, Oxford University and the University of Southern California comprising of Denny Vrandecic, Varun Ratnakar, Markus Krtzsch, and Yolanda Gil for their entry "Shortipedia" - a Web-based knowledge repository and collaborative curating system, pulling together a growing number of sources in order to provide a comprehensive, multilingual and diversived view on entities of interest a Wikipedia on steroids.

The Billion Triples Track was won by "Creating voiD Descriptions for Web-scale Data" by Christoph Bhm, Johannes Lorey, Dandy Fenz, Eyk Kny, Matthias Pohl, Felix Naumann from Potsdam Univesity, Germany. This entry uses state of the art parallelisation techniques, and some serious cloud computing power, to dissect the enormous Billion Triples dataset into topic-specific views.

"The award winners this year demonstrated a range of different applications which have a huge potential for widespread take up in the wider community, by presenting information from a wide range of sources in a meaningful way to the end user," stated Chris Bizer and Diane Maynard, co-organizers of the Semantic Web Challenge. "It is interesting to see how the growth of the amount of informa
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Contact: Jason Awerdick
j.awerdick@elsevier.com
212-633-3103
Elsevier
Source:Eurekalert

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