Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels

"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...

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Autores principales: Vaisman, Alejandro Ariel, Chentout, Kevin
Formato: Artículos de Publicaciones Periódicas publishedVersion
Lenguaje:Inglés
Publicado: 2020
Materias:
GIS
RDF
SPARQL
WEB SEMANTICA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/2232
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-2232
record_format dspace
spelling I32-R138-123456789-22322022-12-07T13:05:53Z Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels Vaisman, Alejandro Ariel Chentout, Kevin GIS RDF SPARQL WEB SEMANTICA "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." 2020-06-26T21:20:13Z 2020-06-26T21:20:13Z 2019 Artículos de Publicaciones Periódicas info:eu-repo/semantics/publishedVersion 2220-9964 http://ri.itba.edu.ar/handle/123456789/2232 en info:eu-repo/grantAgreement/ANPCyT/PICT/2014-0787/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/ANPCyT/PICT/2017-1054/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/Innoviris/OCSB/BE. Bruselas info:eu-repo/semantics/reference/doi/10.3390/ijgi8080353 application/pdf Bruselas (Bélgica)
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic GIS
RDF
SPARQL
WEB SEMANTICA
spellingShingle GIS
RDF
SPARQL
WEB SEMANTICA
Vaisman, Alejandro Ariel
Chentout, Kevin
Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
topic_facet GIS
RDF
SPARQL
WEB SEMANTICA
description "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."
format Artículos de Publicaciones Periódicas
publishedVersion
author Vaisman, Alejandro Ariel
Chentout, Kevin
author_facet Vaisman, Alejandro Ariel
Chentout, Kevin
author_sort Vaisman, Alejandro Ariel
title Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
title_short Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
title_full Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
title_fullStr Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
title_full_unstemmed Mapping spatiotemporal data to RDF: a SPARQL endpoint for Brussels
title_sort mapping spatiotemporal data to rdf: a sparql endpoint for brussels
publishDate 2020
url http://ri.itba.edu.ar/handle/123456789/2232
work_keys_str_mv AT vaismanalejandroariel mappingspatiotemporaldatatordfasparqlendpointforbrussels
AT chentoutkevin mappingspatiotemporaldatatordfasparqlendpointforbrussels
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