Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels

Vaisman, Alejandro Ariel; Chentout, Kevin

artículo de publicación periódica.page.titleprefix
Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels

dc.contributor.author	Vaisman, Alejandro Ariel
dc.contributor.author	Chentout, Kevin
dc.coverage.spatial	Bruselas (Bélgica)	es
dc.date.accessioned	2020-06-26T21:20:13Z
dc.date.available	2020-06-26T21:20:13Z
dc.date.issued	2019
dc.description.abstract	"This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. The second part of the paper shows, through a comprehensive set of the spatial extension to SPARQL (stSPARQL) queries, how the endpoint can be exploited."	en
dc.identifier.issn	2220-9964
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/2232
dc.language.iso	en	en
dc.relation	info:eu-repo/grantAgreement/ANPCyT/PICT/2014-0787/AR. Ciudad Autónoma de Buenos Aires
dc.relation	info:eu-repo/grantAgreement/ANPCyT/PICT/2017-1054/AR. Ciudad Autónoma de Buenos Aires
dc.relation	info:eu-repo/grantAgreement/Innoviris/OCSB/BE. Bruselas
dc.relation	info:eu-repo/semantics/reference/doi/10.3390/ijgi8080353
dc.subject	GIS	en
dc.subject	RDF	en
dc.subject	WEB SEMANTICA	es
dc.subject	SPARQL	en
dc.title	Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels	en
dc.type	Artículos de Publicaciones Periódicas	es
dc.type	info:eu-repo/semantics/publishedVersion
dspace.entity.type	Artículo de Publicación Periódica
itba.description.filiation	Fil: Vaisman, Alejandro Ariel. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Chentout, Kevin. Sopra Banking Software; Bélgica.