Overcoming semantic heterogeneity in spatial data infrastructures

  • Authors:
  • M. Lutz;J. Sprado;E. Klien;C. Schubert;I. Christ

  • Affiliations:
  • European Commission-Joint Research Centre (JRC), Via E. Fermi 1, 21027 Ispra, Italy;Center for Computing Technologies (TZI), Am Fallturm 1, 28359 Bremen, Germany;Institute for Geoinformatics (IfGI), Weseler Straíe 253, 48151 Münster, Germany;Delphi InformationsMusterManagement (DELPHI IMM), Friedrich-Ebert-Straíe 8, 14467 Potsdam, Germany;Delphi InformationsMusterManagement (DELPHI IMM), Friedrich-Ebert-Straíe 8, 14467 Potsdam, Germany

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2009

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Abstract

In current spatial data infrastructures (SDIs), it is still often difficult to effectively exchange or re-use geographic data sets. A main reason for this is semantic heterogeneity, which occurs at different levels: at the metadata, the schema and the data content level. It is the goal of the work presented in this paper to overcome the problems caused by semantic heterogeneity on all three levels. We present a method based on ontologies and logical reasoning, which enhances the discovery, retrieval, interpretation and integration of geographic data in SDIs. Its benefits and practical use are illustrated with examples from the domains of geology and hydrology.