A Survey of the Web Ontology Landscape

Abstract

We survey nearly 1300 OWL ontologies and RDFS schemas. The collection of statistical data allows us to perform analysis and report some trends. Though most of the documents are syntactically OWL Full, very few stay in OWL Full when they are syntactically patched by adding type triples. We also report the frequency of occurrences of OWL language constructs and the shape of class hierarchies in the ontologies. Finally, we note that of the largest ontologies surveyed here, most do not exceed the description logic expressivity of ALC.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA455194

Entities

People

  • Bijan Parsia
  • James Hendler
  • Taowei D. Wang

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computational Complexity
  • Computer Science
  • Digital Information
  • Feature Extraction
  • Hierarchies
  • Language
  • Models
  • Ontologies
  • Reasoning
  • Semantics
  • Statistical Data
  • Statistics
  • Surveys
  • Universities
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Science.
  • Geospatial Intelligence and Artificial Intelligence Analytics