LEADER 07500nam 22009015 450 001 996465973203316 005 20200702144746.0 010 $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 $a20130109d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty Reasoning for the Semantic Web II$b[electronic resource] $eInternational Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers /$fedited by Fernando Bobillo, Paulo Cesar G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XVI, 331 p. 72 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7123 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 $aArtificial intelligence 606 $aData mining 606 $aInformation storage and retrieval 606 $aUser interfaces (Computer systems) 606 $aMathematical logic 606 $aMathematical statistics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 608 $aConference proceedings.$2fast 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aInformation storage and retrieval. 615 0$aUser interfaces (Computer systems). 615 0$aMathematical logic. 615 0$aMathematical statistics. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aMathematical Logic and Formal Languages. 615 24$aProbability and Statistics in Computer Science. 676 $a006.3 702 $aBobillo$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCosta$b Paulo Cesar G$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $ad'Amato$b Claudia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFanizzi$b Nicola$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLaskey$b Kathryn B$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLaskey$b Kenneth J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLukasiewicz$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNickles$b Matthias$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPool$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$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) 906 $aBOOK 912 $a996465973203316 996 $aUncertainty Reasoning for the Semantic Web II$92830627 997 $aUNISA