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EBSCO_on1049711879 |
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20231017213018.0 |
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m o d |
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|a 1049802614
|a 1049909627
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|a 9781614998921
|q (electronic bk.)
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|a (OCoLC)1049711879
|z (OCoLC)1049802614
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|2 23
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|a UAMI
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| 100 |
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|a Cota, Giuseppe,
|e author.
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| 245 |
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|a Inference and learning systems for uncertain relational data /
|c Giuseppe Cota.
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| 264 |
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|a Amsterdam, Netherlands :
|b IOS Press,
|c 2018.
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
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|a Studies on the semantic web ;
|v vol. 035
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| 504 |
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|a Includes bibliographical references.
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| 588 |
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|a Online resource; title from PDF title page (IOS Press, viewed August 24, 2018).
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|a Intro; Title Page; Abstract; Acknowledgements; Contents; List of Figures; List of Tables; List of Algorithms; List of Acronyms; Introduction; Motivation; Aims of the Thesis; Structure of the Thesis; Structure; Thesis Contributions; Inference in Probabilistic Logic Programming; Inference in Probabilistic Description Logics; Learning Systems in Probabilistic Logic Programming; Learning Systems in Probabilistic Description Logics; How to read this thesis; Probabilistic Logics; Fundamentals of First-Order Logic and Logic Programming; Introduction; First-Order Logic; Syntax; Tarski's semantics.
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8 |
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|a Logic ProgrammingProlog; Normal Logic Programs; First-Order Logic vs Logic Programs; Conclusions; Distribution Semantics; Introduction; Formal Definition; Conclusions; Probabilistic Logic Programming Languages; Introduction; Logic Programs with Annotated Disjunctions; LPADs Syntax; LPADs Semantics; ProbLog; ProbLog Syntax; Conclusions; Description Logics and OWL; Introduction; Description Logics; Syntax; Concept and Role Constructors; Concept Constructors; Role constructors; Knowledge Base; Nomenclature; Semantics; Decidability of Description Logics; Description Logics and First-Order Logic.
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|a The OWL Ontology LanguageOWL Syntax; OWL sublanguages; Tools for OWL; Conclusions; Reasoning in Description Logics; Reasoning Problems; Closed vs Open World Assumption; Reasoning Techniques; Pellet; Tableau Algorithm; Explanation finding; Pinpointing formula; Conclusions; Probabilistic Description Logics; Introduction; The Distribution Semantics for Description Logics: DISPONTE; Syntax; Semantics; Assumption of Independence; Related Work; Conclusions; Inference in Probabilistic Logics; Decision Diagrams; Introduction; Multivalued Decision Diagrams; Binary Decision Diagrams; Conclusions.
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|a Fundamentals of Exact Probabilistic Logical InferenceInference Approaches; Exact Probabilistic Logical Inference; Splitting Algorithm; Inference with Multi-valued Decision Diagrams; Inference with Binary Decision Diagrams; Conclusions; Inference in Probabilistic Logic Programming; Introduction; cplint; Exact Inference: the PITA module; Approximate Inference: the MCINTYRE module; Causal Inference with cplint; Causal Inference in PLP; Causal Exact Inference with cplint; Causal Approximate Inference with cplint; Notable Examples; Simpson's Paradox; Viral Marketing; Experiments.
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| 505 |
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|a Hybrid Probabilistic Logic Programs with cplintSampling the Arguments of Unconditional Queries over Hybrid Programs; Conditional Queries over Hybrid Logic Programs; cplint on SWISH: a Web interface for cplint; SWISH; cplint on SWISH; Examples; Related Work; Work on causality inference; Work on Hybrid Probabilistic Logic Programs; Web application for PLP; Conclusions; Inference in Probabilistic Description Logics; Introduction; BUNDLE; How to use BUNDLE; TRILL; TRILLP; How to use TRILL and TRILLP; TRILL on SWISH; Inference Complexity; Experiments; Comparing the Systems; Related Work.
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| 590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Logic programming.
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|a IOS Press.
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|a Studies on the Semantic Web ;
|v vol. 035.
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