Uncertainty Reasoning for the Semantic Web III
Uncertainty Reasoning for the Semantic Web III
Fernando Bobillo, Paulo C.G. Costa, Matthias Nickles, Claudia d'Amato, Kathryn B. Laskey, Rommel N. Carvalho, Nicola Fanizzi, Kenneth J. Laskey, Thomas Lukasiewicz
About this book
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.
Details
- OL Work ID
- OL20773125W
Subjects
Uncertainty (information theory)World wide webReasoningArtificial Intelligence (incl. Robotics)Computer scienceData miningArtificial intelligenceMathematical Logic and Formal LanguagesProbability and Statistics in Computer ScienceData Mining and Knowledge Discovery