Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/10162
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dc.contributor.authorJovanovik, Milosen_US
dc.contributor.authorSpasić, Mirkoen_US
dc.date.accessioned2021-02-18T08:50:15Z-
dc.date.available2021-02-18T08:50:15Z-
dc.date.issued2019-05-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/10162-
dc.description.abstractGeospatial RDF datasets have a tendency to use latitude and longitude properties to denote the geographic location of the entities described within them. On the other hand, geographic information systems prefer the use of WKT and GML geometries when working with geospatial data. In this paper, we present a process of RDF data transformation which produces a GeoSPARQL-compliant dataset, using an RDF geospatial dataset with traffic data as a starting point. The traffic is comprised of vehicle traces, which consist of numerous points with specific latitude and longitude values. With our transformations, we enable querying of the dataset with GeoSPARQL extensions, which can be used to feed a GIS solution.en_US
dc.language.isoenen_US
dc.publisherSs. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedoniaen_US
dc.relation.ispartofseriesCIIT 2019;-
dc.subjectGeoSPARQLen_US
dc.subjectGeospatial Dataen_US
dc.subjectData Transformationen_US
dc.subjectGISen_US
dc.subjectRDFen_US
dc.subjectSPARQLen_US
dc.subjectLinked Dataen_US
dc.titleTransforming Geospatial RDF Data into GeoSPARQL-Compliant Data: A Case of Traffic Dataen_US
dc.typeProceeding articleen_US
dc.relation.conference16th International Conference on Informatics and Information Technologies - CIIT 2019en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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