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
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
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
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  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.