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OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment

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  • Marek Smid

    (Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic)

Abstract

Geospatial data sources are heterogeneous and backed by different data management technologies. This brings problems in data integration as well as their subsequent interpretation. This article proposes a technique for choosing the relevant data source out of many such sources, given a complex spatial query. Each source is described with a set of prototypical queries that are algorithmically arranged into a lattice. Upon query execution, the lattice is searched for an element matching best the input query. The matching algorithm makes use of the GeoSPARQL query containment enhanced with OWL 2 QL semantics. The technique is implemented in a prototypical system called OnGIS.

Suggested Citation

  • Marek Smid, 2019. "OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 15(1), pages 1-20, January.
    • Handle: RePEc:igg:jswis0:v:15:y:2019:i:1:p:1-20
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