Legislative linked open data: A proposal of linked open data modelling for legislative information

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dc.contributor.authorBrandt, Mariana Baptista [UNESP]
dc.contributor.authorBorsetti Gregorio Vidotti, Silvana Aparecida [UNESP]
dc.contributor.authorSantarem Segundo, José Eduardo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:11:06Z
dc.date.available2022-04-28T19:11:06Z
dc.date.issued2018-05-01
dc.description.abstractThis research aimed to create a linked open data (LOD) model using RDF (Resource Description Framework) for a legislative dataset from the House of Representatives. It has proceeded a literature review embracing the concepts of open data, open government data, linked data and linked open data followed by an applied research for a data modelling of legislative data in linked open data using RDF. The dataset “Deputies” was selected for this research. It covers information about political parties, state, e-mail, legislature among others, about the congressmen. It was observed that modelling the dataset using RDF is possible by reusing vocabularies and frameworks already established in Semantic Web e.g. Dublin Core, Friend of a Friend (FOAF), RDF and RDF Schema, together with correlated vocabularies like the Italian House of Representatives and the French National Assembly ontologies. As recommended by Linked Data best practices, the resources were also related to other LOD such as Geonames and DBpedia for semantic enhancement. The study allows us to conclude that making government data available, especially legislative data can be done according to the recommendations and best practices from W3C (World Wide Web Consortium). This practice integrates legislative data on the Web of Data and increase the possibilities of data reuse in transparency and oversight projects, which approaches citizens to the Congress and to their representatives.en
dc.description.affiliationPrograma de Pós-Graduação em Ciência da Informação Universidade Estadual Paulista Julio de Mesquita Filho
dc.description.affiliationUnespPrograma de Pós-Graduação em Ciência da Informação Universidade Estadual Paulista Julio de Mesquita Filho
dc.format.extent149-161
dc.identifier.citationInformacao e Sociedade, v. 28, n. 2, p. 149-161, 2018.
dc.identifier.issn1809-4783
dc.identifier.issn0104-0146
dc.identifier.scopus2-s2.0-85053699069
dc.identifier.urihttp://hdl.handle.net/11449/221167
dc.language.isopor
dc.relation.ispartofInformacao e Sociedade
dc.sourceScopus
dc.subjectLegislative Data
dc.subjectLinked Data
dc.subjectLinked Open Data
dc.subjectOpen Government
dc.subjectSemantic Web
dc.titleLegislative linked open data: A proposal of linked open data modelling for legislative informationen
dc.titleModelo de dados abertos conectados para informaÇÃo legislativapt
dc.typeResenha

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