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020 _a9783319134130
_9978-3-319-13413-0
024 7 _a10.1007/978-3-319-13413-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aUncertainty Reasoning for the Semantic Web III
_h[electronic resource] :
_bISWC International Workshops, URSW 2011-2013, Revised Selected Papers /
_cedited 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.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVIII, 329 p. 56 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 Computer Science,
_x0302-9743 ;
_v8816
505 0 _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.
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 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.
650 0 _aComputer science.
650 0 _aMathematical logic.
650 0 _aMathematical statistics.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aBobillo, Fernando.
_eeditor.
700 1 _aCarvalho, Rommel N.
_eeditor.
700 1 _aCosta, Paulo C.G.
_eeditor.
700 1 _ad'Amato, Claudia.
_eeditor.
700 1 _aFanizzi, Nicola.
_eeditor.
700 1 _aLaskey, Kathryn B.
_eeditor.
700 1 _aLaskey, Kenneth J.
_eeditor.
700 1 _aLukasiewicz, Thomas.
_eeditor.
700 1 _aNickles, Matthias.
_eeditor.
700 1 _aPool, Michael.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319134123
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8816
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-13413-0
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c57502
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