Please use this identifier to cite or link to this item:
https://research.matf.bg.ac.rs/handle/123456789/1808| Title: | Transforming Geospatial RDF Data into GeoSPARQL-Compliant Data: A Case of Traffic Data | Authors: | Jovanovik, Miloš Spasić, Mirko |
Affiliations: | Informatics and Computer Science | Keywords: | GeoSPARQL;Geospatial data;Data transformation;GIS;RDF;SPARQL;Linked data | Issue Date: | 2019 | Rank: | M33 | Publisher: | Skopje, N. Macedonia : Faculty of Computer Science and Engineering | Related Publication(s): | Proceedings of the 16th International Conference for Informatics and Information Technology | Conference: | International Conference for Informatics and Information Technology(16 ; 2019 ; Mavrovo) | 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. |
URI: | https://research.matf.bg.ac.rs/handle/123456789/1808 |
| Appears in Collections: | Research outputs |
Show full item record
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.