Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/13689
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jovanovik, Milos | en_US |
dc.contributor.author | Homburg, Timo | en_US |
dc.contributor.author | Spasić, Mirko | en_US |
dc.date.accessioned | 2021-06-24T07:55:55Z | - |
dc.date.available | 2021-06-24T07:55:55Z | - |
dc.date.issued | 2021-05 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/13689 | - |
dc.description.abstract | Checking the compliance of geospatial triplestores with the GeoSPARQL standard represents a crucial step for many users when selecting the appropriate storage solution. This publication presents the software which comprises the GeoSPARQL compliance benchmark — a benchmark which checks RDF triplestores for compliance with the requirements of the GeoSPARQL standard. Users can execute this benchmark within the HOBBIT benchmarking platform to quantify the extent to which the GeoSPARQL standard is implemented within the triplestore of interest. This enables users to make an informed decision when choosing an RDF storage solution and helps assess the general state of adoption of geospatial technologies on the Semantic Web. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.relation | SAGE: Semantic Geospatial Analytics | en_US |
dc.relation.ispartof | Software Impacts | en_US |
dc.relation.ispartofseries | ;100071 | - |
dc.subject | GeoSPARQL | en_US |
dc.subject | Benchmarking | en_US |
dc.subject | Compliance | en_US |
dc.subject | RDF triplestores | en_US |
dc.title | Software for the GeoSPARQL Compliance Benchmark | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.1016/j.simpa.2021.100071 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2665963821000191 | - |
dc.identifier.volume | 8 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
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