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Uncertainty Reasoning for the Semantic Web III
. Ed(S): Bobillo, Fernando; Carvalho, Rommel N.; Costa, Paulo Cesar G. Da; D'Amato, Claudia; Fanizzi, Nicola; Laskey, Kathryn B.; Laskey, Kenneth J.;
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Description for Uncertainty Reasoning for the Semantic Web III
Paperback. Editor(s): Bobillo, Fernando; Carvalho, Rommel N.; Costa, Paulo Cesar G. da; d'Amato, Claudia; Fanizzi, Nicola; Laskey, Kathryn B.; Laskey, Kenneth J.; Lukasiewicz, Thomas; Nickles, Matthias; Pool, Michael. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 347 pages, 56 black & white illustrations, biography. BIC Classification: UNF; UNH; UYA; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 534.
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 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.
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 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
347
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
329
Place of Publication
Cham, Switzerland
ISBN
9783319134123
SKU
V9783319134123
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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