rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Uncertainty Reasoning for the Semantic Web III
    sub title: ISWC International Workshops, URSW 2011-2013, Revised Selected Papers
  name:
    name part: Bobillo, Fernando.
    role:
      role term: editor.
  name:
    name part: Carvalho, Rommel N.
    role:
      role term: editor.
  name:
    name part: Costa, Paulo C.G.
    role:
      role term: editor.
  name:
    name part: d'Amato, Claudia.
    role:
      role term: editor.
  name:
    name part: Fanizzi, Nicola.
    role:
      role term: editor.
  name:
    name part: Laskey, Kathryn B.
    role:
      role term: editor.
  name:
    name part: Laskey, Kenneth J.
    role:
      role term: editor.
  name:
    name part: Lukasiewicz, Thomas.
    role:
      role term: editor.
  name:
    name part: Nickles, Matthias.
    role:
      role term: editor.
  name:
    name part: Pool, Michael.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 329 p. 56 illus. online resource.
  abstract: 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.
  table of contents: 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 Regula…
  note: edited 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.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical logic
  subject:
    topic: Mathematical statistics
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 8816
  identifier: 9783319134130
  identifier: http://dx.doi.org/10.1007/978-3-319-13413-0
  record info:
    record creation date: 141129
    record change date: 20151123193129.0
    record identifier: 978-3-319-13413-0