Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/10162
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jovanovik, Milos | en_US |
dc.contributor.author | Spasić, Mirko | en_US |
dc.date.accessioned | 2021-02-18T08:50:15Z | - |
dc.date.available | 2021-02-18T08:50:15Z | - |
dc.date.issued | 2019-05 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/10162 | - |
dc.description.abstract | Geospatial 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.iso | en | en_US |
dc.publisher | Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia | en_US |
dc.relation.ispartofseries | CIIT 2019; | - |
dc.subject | GeoSPARQL | en_US |
dc.subject | Geospatial Data | en_US |
dc.subject | Data Transformation | en_US |
dc.subject | GIS | en_US |
dc.subject | RDF | en_US |
dc.subject | SPARQL | en_US |
dc.subject | Linked Data | en_US |
dc.title | Transforming Geospatial RDF Data into GeoSPARQL-Compliant Data: A Case of Traffic Data | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 16th International Conference on Informatics and Information Technologies - CIIT 2019 | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
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geosparqldata-ciit2019.pdf | 9.32 MB | Adobe PDF | View/Open |
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