The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 43–50, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W2-43-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 43–50, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W2-43-2017

  05 Jul 2017

05 Jul 2017

ANSWERING GEOSPARQL QUERIES OVER RELATIONAL DATA

K. Bereta1, G. Xiao2, and M. Koubarakis1 K. Bereta et al.
  • 1Department of Informatics and Telecommunications, University of Athens, Greece
  • 2Free University of Bozen-Bolzano, Italy

Keywords: GeoSPARQL, RDF, Ontology-based Data Access

Abstract. In this paper we present the system Ontop-spatial that is able to answer GeoSPARQL queries on top of geospatial relational databases, performing on-the-fly GeoSPARQL-to-SQL translation using ontologies and mappings. GeoSPARQL is a geospatial extension of the query language SPARQL standardized by OGC for querying geospatial RDF data. Our approach goes beyond relational databases and covers all data that can have a relational structure even at the logical level. Our purpose is to enable GeoSPARQL querying on-the-fly integrating multiple geospatial sources, without converting and materializing original data as RDF and then storing them in a triple store. This approach is more suitable in the cases where original datasets are stored in large relational databases (or generally in files with relational structure) and/or get frequently updated.