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020 _a9783540897651
_9978-3-540-89765-1
024 7 _a10.1007/978-3-540-89765-1
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aUncertainty Reasoning for the Semantic Web I
_h[electronic resource] :
_bISWC International Workshop, URSW 2005-2007, Revised Selected and Invited Papers /
_cedited by Paulo Cesar G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Matthias Nickles, Michael Pool.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXIV, 403 p.
_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 ;
_v5327
505 0 _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.
520 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aComputer programming.
_94169
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Science.
_99832
650 2 4 _aProgramming Techniques.
_9146741
650 2 4 _aModels of Computation.
_931806
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aMathematical Applications in Computer Science.
_931683
700 1 _aCosta, Paulo Cesar G.
_eeditor.
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700 1 _ad'Amato, Claudia.
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700 1 _aFanizzi, Nicola.
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700 1 _aLaskey, Kathryn B.
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700 1 _aLaskey, Kenneth J.
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700 1 _aNickles, Matthias.
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700 1 _aPool, Michael.
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_9146748
710 2 _aSpringerLink (Online service)
_9146749
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-540-89765-1
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