OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment

Marek Smid
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Marek Smid: Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

International Journal on Semantic Web and Information Systems (IJSWIS), 2019, vol. 15, issue 1, 1-20

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:15:y:2019:i:1:p:1-20

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