Uncertainty Reasoning for the Semantic Web III (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
329
Utgivningsdatum
2014-12-12
Upplaga
2014 ed.
Förlag
Springer International Publishing AG
Medarbetare
Laskey, Kathryn B. (red.)/Laskey, Kenneth J. (red.)/Lukasiewicz, Thomas (red.)/Nickles, Matthias (red.)/Pool, Michael (red.)
Illustrationer
56 Illustrations, black and white; XVIII, 329 p. 56 illus.
Dimensioner
234 x 156 x 18 mm
Vikt
486 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319134123

Uncertainty Reasoning for the Semantic Web III

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

Häftad,  Engelska, 2014-12-12
760
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
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.
Visa hela texten

Passar bra ihop

  1. Uncertainty Reasoning for the Semantic Web III
  2. +
  3. The Anxious Generation

De som köpt den här boken har ofta också köpt The Anxious Generation av Jonathan Haidt (inbunden).

Köp båda 2 för 1049 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

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.