LEADER 04514oam 2200625 450 001 9910482963203321 005 20210521151843.0 010 $a3-540-89765-8 024 7 $a10.1007/978-3-540-89765-1 035 $a(CKB)1000000000545918 035 $a(SSID)ssj0000320560 035 $a(PQKBManifestationID)11937791 035 $a(PQKBTitleCode)TC0000320560 035 $a(PQKBWorkID)10247529 035 $a(PQKB)10244044 035 $a(DE-He213)978-3-540-89765-1 035 $a(MiAaPQ)EBC3063769 035 $a(MiAaPQ)EBC6414070 035 $a(PPN)132861623 035 $a(EXLCZ)991000000000545918 100 $a20210521d2008 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aUncertainty reasoning for the semantic web I $eISWC international workshops, URSW 2005-2007 : revised selected and invited papers /$fPaulo Cesar G. da Costa (eds.) 205 $a1st ed. 2008. 210 1$aBerlin, Germany :$cSpringer,$d[2008] 210 4$d©2008 215 $a1 online resource (XIV, 403 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5327 300 $a"Proceedings of the first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007". 311 $a3-540-89764-X 320 $aIncludes bibliographical references and index. 327 $aProbabilistic and Dempster-Shafer Models -- Just Add Weights: Markov Logic for the Semantic Web -- Semantic Science: Ontologies, Data and Probabilistic Theories -- Probabilistic Dialogue Models for Dynamic Ontology Mapping -- An Approach to Probabilistic Data Integration for the Semantic Web -- Rule-Based Approaches for Representing Probabilistic Ontology Mappings -- PR-OWL: A Bayesian Ontology Language for the Semantic Web -- Discovery and Uncertainty in Semantic Web Services -- An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion -- Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies -- An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines -- Fuzzy and Possibilistic Models -- A Crisp Representation for Fuzzy with Fuzzy Nominals and General Concept Inclusions -- Optimizing the Crisp Representation of the Fuzzy Description Logic -- Uncertainty Issues and Algorithms in Automating Process Connecting Web and User -- Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach -- A Fuzzy Semantics for the Resource Description Framework -- Reasoning with the Fuzzy Description Logic f- : Theory, Practice and Applications -- Inductive Reasoning and Machine Learning -- Towards Machine Learning on the Semantic Web -- Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies -- Analogical Reasoning in Description Logics -- Approximate Measures of Semantic Dissimilarity under Uncertainty -- Ontology Learning and Reasoning ? Dealing with Uncertainty and Inconsistency -- Hybrid Approaches -- Uncertainty Reasoning for Ontologies with General TBoxes in Description Logic. 330 $aThis book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge. 410 0$aLecture Notes in Artificial Intelligence ;$v5327 606 $aSemantic Web$vCongresses 615 0$aSemantic Web 676 $a025.0427 686 $aDAT 557f$2stub 686 $aDAT 616f$2stub 686 $aDAT 703f$2stub 686 $aSS 4800$2rvk 702 $aCosta$b Paulo Cesar G. da 712 12$aURSW (Workshop) 712 12$aInternational Semantic Web Conference. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910482963203321 996 $aUncertainty Reasoning for the Semantic Web I$9774123 997 $aUNINA