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Improving an RCC-Derived Geospatial Approximation by OWL Axioms

  • Rolf Grütter
  • Thomas Scharrenbach
  • Bettina Bauer-Messmer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5318)

Abstract

An approach to improve an RCC-derived geospatial approximation is presented which makes use of concept inclusion axioms in OWL. The algorithm used to control the approximation combines hypothesis testing with consistency checking provided by a knowledge representation system based on description logics. Propositions about the consistency of the refined ABox w.r.t. the associated TBox when compared to baseline ABox and TBox are made. Formal proves of the divergent consistency results when checking either of both are provided. The application of the approach to a geospatial setting results in a roughly tenfold improved approximation when using the refined ABox and TBox. Ways to further improve the approximation and to automate the detection of falsely calculated relations are discussed.

Keywords

Geospatial approximation Region Connection Calculus Web Ontology Language hypothesis testing consistency checking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Rolf Grütter
    • 1
  • Thomas Scharrenbach
    • 1
  • Bettina Bauer-Messmer
    • 1
  1. 1.Swiss Federal Research Institute WSLAn Institute of the ETH BoardBirmensdorfSwitzerland

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