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Uncertainty Reasoning For The Semantic Web Ii International Workshops Ursw 20082010 Held At Iswc And Unidl 2010 Held At Floc Revised Selected Papers 1st Edition Rommel N Carvalho

  • SKU: BELL-4241376
Uncertainty Reasoning For The Semantic Web Ii International Workshops Ursw 20082010 Held At Iswc And Unidl 2010 Held At Floc Revised Selected Papers 1st Edition Rommel N Carvalho
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Uncertainty Reasoning For The Semantic Web Ii International Workshops Ursw 20082010 Held At Iswc And Unidl 2010 Held At Floc Revised Selected Papers 1st Edition Rommel N Carvalho instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 8.83 MB
Pages: 331
Author: Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. Costa (auth.), Fernando Bobillo, Paulo C. G. Costa, Claudia d’Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (eds.)
ISBN: 9783642359743, 9783642359750, 3642359744, 3642359752
Language: English
Year: 2013
Edition: 1

Product desciption

Uncertainty Reasoning For The Semantic Web Ii International Workshops Ursw 20082010 Held At Iswc And Unidl 2010 Held At Floc Revised Selected Papers 1st Edition Rommel N Carvalho by Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. Costa (auth.), Fernando Bobillo, Paulo C. G. Costa, Claudia D’amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (eds.) 9783642359743, 9783642359750, 3642359744, 3642359752 instant download after payment.

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

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