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Answering geosparql queries over relational data
Conference proceeding   Open access   Peer reviewed

Answering geosparql queries over relational data

K Bereta, Guohui Xiao and M Koubarakis
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.42(4W2), pp.43-50
42
2017 Free and Open Source Software for Geospatial Conference-Europe, FOSS4G-Europe 2017 (PARIS | MARNE-LA-VALLÉE, 18/07/2017–22/07/2017)
2017
Handle:
https://hdl.handle.net/10863/16143

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. 
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