The Semantic Web: Research and Applications

3rd European Semantic Web Conference, ESWC 2006 Budva, Montenegro, June 11-14, 2006 Proceedings

Editors:

ISBN: 978-3-540-34544-2 (Print) 978-3-540-34545-9 (Online)

Table of contents (51 chapters)

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  1. Front Matter

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  2. Invited Talks

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      Pages 1-1

      Where Does It Break? or: Why the Semantic Web Is Not Just “Research as Usual”

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      Pages 2-2

      Toward Large-Scale Shallow Semantics for Higher-Quality NLP

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      Pages 3-3

      Usability and the Semantic Web

  3. Ontology Alignment

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      Pages 4-18

      Matching Hierarchical Classifications with Attributes

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      Pages 19-33

      An Iterative Algorithm for Ontology Mapping Capable of Using Training Data

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      Pages 34-49

      Community-Driven Ontology Matching

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      Pages 50-64

      Reconciling Concepts and Relations in Heterogeneous Ontologies

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      Pages 65-79

      Empirical Merging of Ontologies — A Proposal of Universal Uncertainty Representation Framework

  4. Ontology Engineering

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      Pages 80-94

      Encoding Classifications into Lightweight Ontologies

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      Pages 95-109

      A Method to Convert Thesauri to SKOS

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      Pages 110-124

      Ontology Engineering Revisited: An Iterative Case Study

  5. Ontology Evaluation

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      Pages 125-139

      Towards a Complete OWL Ontology Benchmark

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      Pages 140-154

      Modelling Ontology Evaluation and Validation

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      Pages 155-169

      Benchmark Suites for Improving the RDF(S) Importers and Exporters of Ontology Development Tools

  6. Ontology Evolution

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      Pages 170-184

      Repairing Unsatisfiable Concepts in OWL Ontologies

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      Pages 185-199

      Winnowing Ontologies Based on Application Use

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      Pages 200-214

      Resolving Inconsistencies in Evolving Ontologies

  7. Ontology Learning

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      Pages 215-229

      Automatic Extraction of Hierarchical Relations from Text

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      Pages 230-244

      An Infrastructure for Acquiring High Quality Semantic Metadata

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      Pages 245-258

      Extracting Instances of Relations from Web Documents Using Redundancy

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