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024 7 _a10.1007/978-3-642-35975-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aUncertainty Reasoning for the Semantic Web II
_h[electronic resource] :
_bInternational Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers /
_cedited by Fernando Bobillo, Paulo Cesar G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVI, 331 p. 72 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7123
505 0 _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 LogicALCH.- 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.
520 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aMachine theory.
_9143458
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9143459
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aFormal Languages and Automata Theory.
_9143460
650 2 4 _aProbability and Statistics in Computer Science.
_931857
700 1 _aBobillo, Fernando.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9143461
700 1 _aCosta, Paulo Cesar G.
_eeditor.
_4edt
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_9143462
700 1 _ad'Amato, Claudia.
_eeditor.
_4edt
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_9143463
700 1 _aFanizzi, Nicola.
_eeditor.
_4edt
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_9143464
700 1 _aLaskey, Kathryn B.
_eeditor.
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_9143465
700 1 _aLaskey, Kenneth J.
_eeditor.
_4edt
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_9143466
700 1 _aLukasiewicz, Thomas.
_eeditor.
_4edt
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_9143467
700 1 _aNickles, Matthias.
_eeditor.
_4edt
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_9143468
700 1 _aPool, Michael.
_eeditor.
_4edt
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_9143469
710 2 _aSpringerLink (Online service)
_9143470
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642359743
776 0 8 _iPrinted edition:
_z9783642359767
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7123
_9143471
856 4 0 _uhttps://doi.org/10.1007/978-3-642-35975-0
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