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GeoLD 2014, 1st international workshop on Geospatial Linked Data 01/09/2014 01/09/2014 Vienne Autriche Open access proceedings
nom du congrès :
GeoLD 2014, 1st international workshop on Geospatial Linked Data
début du congrès :
01/09/2014
fin du congrès :
01/09/2014
ville du congrès :
Vienne
pays du congrès :
Autriche
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GeomRDF: a geodata converter with a fine-grained structured representation of geometry in the web / Fayçal Hamdi (2014)
Titre : GeomRDF: a geodata converter with a fine-grained structured representation of geometry in the web Type de document : Article/Communication Auteurs : Fayçal Hamdi , Auteur ; Nathalie Abadie , Auteur ; Bénédicte Bucher , Auteur ; Abdelfettah Feliachi , Auteur Editeur : Ithaca [New York - Etats-Unis] : ArXiv - Université Cornell Année de publication : 2014 Conférence : GeoLD 2014, 1st international workshop on Geospatial Linked Data 01/09/2014 01/09/2014 Vienne Autriche Open access proceedings Importance : 12 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) In recent years, with the advent of the web of data, a growing number 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 geospatial 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 geometries represented as GeoSPARQL WKT literal but also as structured geometries that can be exploited by using only the RDF query language, SPARQL. GeomRDF 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). Numéro de notice : C2014-014 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : 10.48550/arXiv.1503.04864 En ligne : https://doi.org/10.48550/arXiv.1503.04864 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78516 Documents numériques
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