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_a10.1007/978-3-540-89765-1 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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_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. |
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300 |
_aXIV, 403 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aComputer science. _99832 |
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650 | 0 |
_aComputer programming. _94169 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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650 | 0 |
_aMathematical statistics. _99597 |
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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. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146742 |
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700 | 1 |
_ad'Amato, Claudia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146743 |
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700 | 1 |
_aFanizzi, Nicola. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146744 |
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700 | 1 |
_aLaskey, Kathryn B. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146745 |
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700 | 1 |
_aLaskey, Kenneth J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146746 |
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700 | 1 |
_aNickles, Matthias. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146747 |
|
700 | 1 |
_aPool, Michael. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9146748 |
|
710 | 2 |
_aSpringerLink (Online service) _9146749 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540897644 |
776 | 0 | 8 |
_iPrinted edition: _z9783540897668 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5327 _9146750 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-89765-1 |
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