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    1. Data och IT
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    Uncertainty Reasoning for the Semantic Web III

    ISWC International Workshops, URSW 2011-2013, Revised Selected Papers

    AvFernando Bobillo,Rommel N. Carvalho

    Häftad, Engelska, 2014

    Del 8816 i serien Lecture Notes in Computer Science

    557 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    This 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.

    Produktinformation

    • Utgivningsdatum:2014-12-12
    • Mått:155 x 235 x 19 mm
    • Vikt:528 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Computer Science
    • Antal sidor:329
    • Förlag:Springer International Publishing AG
    • ISBN:9783319134123

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Människa – datorinteraktion inom Data och IT
    • Databaser inom Data och IT

    Innehållsförteckning

    • 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.- 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 forTransductive 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.
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