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Querying non-materialized ontology views.

Landon T Detwiler1, James F Brinkley

  • 1Structural Informatics Group, Departments of Biological Structure and Medical Education and Biomedical Informatics, University of Washington, Seattle, WA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
PubMed
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This study introduces non-materialized view queries to simplify complex ontologies for the semantic web. It presents a language for defining these views and executing queries without pre-materialization.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Semantic Web Technologies

Background:

  • Ontologies are complex and difficult to use in semantic web applications.
  • Simplifying ontologies is crucial for broader adoption and tractability.
  • Existing methods may involve materialization, which can be computationally expensive.

Purpose of the Study:

  • To propose a method for simplifying ontologies using non-materialized view queries.
  • To introduce a language for specifying view queries over OWL/RDFS.
  • To demonstrate query execution over simplified ontologies without materialization.

Main Methods:

  • Developed a language for defining view queries over OWL/RDFS data sources.
  • Explored techniques for executing user queries against these non-materialized views.

Related Experiment Videos

  • Focused on deriving simplified application ontologies from larger, complex ones.

    • Main Results:

    • A novel approach using non-materialized view queries for ontology simplification.
    • A defined language for specifying how simplified views are derived.
    • Initial concepts for efficient query execution over these views.

    Conclusions:

    • Non-materialized view queries offer a tractable way to simplify ontologies for the semantic web.
    • The proposed language and query execution methods facilitate easier use of complex ontologies.
    • This approach reduces the need for pre-materialization, improving efficiency.