LEADER 06547nam 22008295 450 001 9910484495803321 005 20200705225754.0 010 $a3-319-13413-2 024 7 $a10.1007/978-3-319-13413-0 035 $a(CKB)3710000000306193 035 $a(SSID)ssj0001386832 035 $a(PQKBManifestationID)11833292 035 $a(PQKBTitleCode)TC0001386832 035 $a(PQKBWorkID)11375099 035 $a(PQKB)10736587 035 $a(DE-He213)978-3-319-13413-0 035 $a(MiAaPQ)EBC6306929 035 $a(MiAaPQ)EBC5610487 035 $a(Au-PeEL)EBL5610487 035 $a(OCoLC)897803457 035 $a(PPN)183094786 035 $a(EXLCZ)993710000000306193 100 $a20141129d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty Reasoning for the Semantic Web III $eISWC International Workshops, URSW 2011-2013, Revised Selected Papers /$fedited by Fernando Bobillo, Rommel N. Carvalho, Paulo C.G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XVIII, 329 p. 56 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8816 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-13412-4 327 $aUMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework -- Computing Inferences for Relational Bayesian Networks Based on ALC Constructs -- Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/? -- Learning Probabilistic Description Logics -- Semantics and Inference for Probabilistic Description Logics -- A Metaontology for Annotating Ontology Entities with Vagueness Descriptions -- Finite Lattices Do Not Make Reasoning in ALCOI Harder -- Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge -- Semantic Knowledge Discovery and Data-Driven Logical Reasoning from Heterogeneous Data Sources -- Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness -- Graph-Based Regularization for Transductive Class-Membership Prediction -- Analyzing User Demographics and User Behavior for Trust Assessment -- Bridging Gaps Between Subjective Logic and Semantic Web -- Uncertainty Estimation and Analysis of Categorical Web Data -- Ontological CP-Nets -- Uncertainty Handling in Named Entity Extraction and Disambiguation for Informal Text -- UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework -- Computing Inferences for Relational Bayesian Networks Based on ALC Constructs -- Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/? -- Learning Probabilistic Description Logics -- Semantics and Inference for Probabilistic Description Logics -- A Metaontology for Annotating Ontology Entities with Vagueness Descriptions -- Finite Lattices Do Not Make Reasoning in ALCOI Harder -- Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge -- Semantic Knowledge Discovery and Data-Driven Logical Reasoning from Heterogeneous Data Sources -- Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness -- Graph-Based Regularization for Transductive Class-Membership Prediction -- Analyzing User Demographics and User Behavior for Trust Assessment -- Bridging Gaps Between Subjective Logic and Semantic Web -- Uncertainty Estimation and Analysis of Categorical Web Data -- Ontological CP-Nets -- Uncertainty Handling in Named Entity Extraction and Disambiguation for Informal Text. 330 $aThis book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches. 410 0$aLecture Notes in Artificial Intelligence ;$v8816 606 $aArtificial intelligence 606 $aMathematical logic 606 $aMathematical statistics 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 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 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aMathematical logic. 615 0$aMathematical statistics. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aMathematical Logic and Formal Languages. 615 24$aProbability and Statistics in Computer Science. 615 24$aData Mining and Knowledge Discovery. 676 $a025.0427 702 $aBobillo$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCarvalho$b Rommel N$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCosta$b Paulo C.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$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484495803321 996 $aUncertainty Reasoning for the Semantic Web III$92831582 997 $aUNINA