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Article

A GeoSPARQL Compliance Benchmark

1
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, 1000 Skopje, North Macedonia
2
OpenLink Software Ltd., Croydon, Surrey CR0 0XZ, UK
3
i3mainz—Institute for Spatial Information & Surveying Technology, Mainz University of Applied Sciences, 55128 Mainz, Germany
4
Faculty of Mathematics, University of Belgrade, 11000 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Academic Editors: Rob Brennan, Brian Davis, Armin Haller, Beyza Yaman and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(7), 487; https://doi.org/10.3390/ijgi10070487
Received: 22 May 2021 / Revised: 8 July 2021 / Accepted: 10 July 2021 / Published: 16 July 2021
(This article belongs to the Special Issue Semantic Spatial Web)
GeoSPARQL is an important standard for the geospatial linked data community, given that it defines a vocabulary for representing geospatial data in RDF, defines an extension to SPARQL for processing geospatial data, and provides support for both qualitative and quantitative spatial reasoning. However, what the community is missing is a comprehensive and objective way to measure the extent of GeoSPARQL support in GeoSPARQL-enabled RDF triplestores. To fill this gap, we developed the GeoSPARQL compliance benchmark. We propose a series of tests that check for the compliance of RDF triplestores with the GeoSPARQL standard, in order to test how many of the requirements outlined in the standard a tested system supports. This topic is of concern because the support of GeoSPARQL varies greatly between different triplestore implementations, and the extent of support is of great importance for different users. In order to showcase the benchmark and its applicability, we present a comparison of the benchmark results of several triplestores, providing an insight into their current GeoSPARQL support and the overall GeoSPARQL support in the geospatial linked data domain. View Full-Text
Keywords: GeoSPARQL; geospatial data; benchmark; RDF; SPARQL GeoSPARQL; geospatial data; benchmark; RDF; SPARQL
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MDPI and ACS Style

Jovanovik, M.; Homburg, T.; Spasić, M. A GeoSPARQL Compliance Benchmark. ISPRS Int. J. Geo-Inf. 2021, 10, 487. https://doi.org/10.3390/ijgi10070487

AMA Style

Jovanovik M, Homburg T, Spasić M. A GeoSPARQL Compliance Benchmark. ISPRS International Journal of Geo-Information. 2021; 10(7):487. https://doi.org/10.3390/ijgi10070487

Chicago/Turabian Style

Jovanovik, Milos, Timo Homburg, and Mirko Spasić. 2021. "A GeoSPARQL Compliance Benchmark" ISPRS International Journal of Geo-Information 10, no. 7: 487. https://doi.org/10.3390/ijgi10070487

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