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[HAB14] GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web
Atelier, Poster ou Démonstration dans une Conférence Internationale : The 1st International Workshop on Geospatial Linked Data - (GeoLD 2014) - SEMANTiCS 2014, September 2014, pp.12, Germany,Mots clés: Linked Data Geospatial Data RDF
Résumé:
In recent years, with the advent of the web of data, a growing num- ber of national mapping agencies tend to publish their geospatial data as Linked Data. However, differences between traditional GIS data models and Linked Data model can make the publication process more complicated. Besides, it may re- quire, to be done, the setting of several parameters and some expertise in the se- mantic web technologies. In addition, the use of standards like GeoSPARQL (or ad hoc predicates) is mandatory to perform spatial queries on published geospa- tial data. In this paper, we present GeomRDF, a tool that helps users to convert spatial data from traditional GIS formats to RDF model easily. It generates ge- ometries represented as GeoSPARQL WKT literal but also as structured geome- tries that can be exploited by using only the RDF query language, SPARQL. Ge- omRDF was implemented as a module in the RDF publication platform Datalift. A validation of GeomRDF has been realized against the French administrative units dataset (provided by IGN France).
Equipe:
isid
Collaboration:
COGIT
BibTeX
| @inproceedings { | |||
| HAB14, | |||
| title | = | "{GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web}", | |
| author | = | " F. Hamdi and N. Abadie and B. Bucher and A. Feliachi ", | |
| booktitle | = | "{The 1st International Workshop on Geospatial Linked Data - (GeoLD 2014) - SEMANTiCS 2014}", | |
| year | = | 2014, | |
| month | = | "September", | |
| pages | = | "12", | |
| address | = | " Germany", | |
| } | |||
