LEADER 05264nam 2200601Ia 450 001 9910739451203321 005 20200520144314.0 010 $a3-642-35975-2 024 7 $a10.1007/978-3-642-35975-0 035 $a(CKB)3400000000102972 035 $a(SSID)ssj0000880086 035 $a(PQKBManifestationID)11524669 035 $a(PQKBTitleCode)TC0000880086 035 $a(PQKBWorkID)10853304 035 $a(PQKB)10944759 035 $a(DE-He213)978-3-642-35975-0 035 $a(MiAaPQ)EBC3069373 035 $a(PPN)168329573 035 $a(EXLCZ)993400000000102972 100 $a20130123d2013 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty reasoning for the semantic web II $eInternational Workshops URSW 2008-2010, held at ISWC, and UniDL 2010, held at FLoC, revised selected papers /$fFernando Bobillo ...[et al.] (eds.) 205 $a1st ed. 2013. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2013 215 $a1 online resource (XVI, 331 p. 72 illus.) 225 0 $aLecture notes in artificial intelligence ;$v7123 225 0 $aLNCS sublibrary. SL 7, Artificial intelligence 300 $aIncludes author index. 311 $a3-642-35974-4 327 $aPR-OWL 2.0 ? Bridging the Gap to OWL Semantics.- Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil -- Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability.- Pronto: A Practical Probabilistic Description Logic Reasoner.- Instance-Based Non-standard Inferences in EL with Subjective Probabilities.- Finite Fuzzy Description Logics and Crisp Representations.- Reasoning in Fuzzy OWL 2 with DeLorean.- Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data.- Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE.- Transforming Fuzzy Description Logic ALCFL into Classical Description Logic ALCH.- A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension. PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods.- Semantic Web Search and Inductive Reasoning.- Ontology Enhancement through Inductive Decision Trees.- Assertion Prediction with Ontologies through Evidence Combination.- Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.- Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data -- Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil -- Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability.- Pronto: A Practical Probabilistic Description Logic Reasoner.- Instance-Based Non-standard Inferences in EL with Subjective Probabilities.- Finite Fuzzy Description Logics and Crisp Representations.- Reasoning in Fuzzy OWL 2 with DeLorean.- Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data.- Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE.- Transforming Fuzzy Description Logic ALCFL into Classical Description Logic ALCH.- A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension.- PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods.- Semantic Web Search and Inductive Reasoning.- Ontology Enhancement through Inductive Decision Trees.- Assertion Prediction with Ontologies through Evidence Combination.- Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.- Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data. 330 $aThis book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches. 410 0$aLecture Notes in Artificial Intelligence ;$v7123 606 $aUncertainty (Information theory)$vCongresses 606 $aSemantic Web$vCongresses 615 0$aUncertainty (Information theory) 615 0$aSemantic Web 676 $a006.3 701 $aBobillo$b Fernando$01757025 712 12$aURSW (Workshop)$d(4th :$f2008 :$eKarlsruhe, Germany) 712 12$aURSW (Workshop)$d(5th :$f2009 :$eWashington, D.C.) 712 12$aURSW (Workshop)$d(6th :$f2010 :$eShanghai, China) 712 12$aUniDL (Workshop)$d(1st :$f2010 :$eEdinburgh, Scotland) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739451203321 996 $aUncertainty reasoning for the semantic web II$94194664 997 $aUNINA