OGDPub - An Ontology to Publish Open Government Data

Abstract


In Brazil, government entities are required to publish their data in an open format, however most municipalities are unable to comply with this obligation. In this article we present OGDPub, an ontology to support the publication of open government data by Brazilian municipalities. The proposed ontology provides a metadata framework for describing the datasets, allows the municipality's organizational structure to be represented and proposes a dataset classification scheme in a language understandable to the citizen. OGDPub was developed based on NeOn Methodology and is represented in OWL language.

Keywords: open government, open data, open government data, ontology

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Published
2020-06-30
PEREIRA, Larissa Mariany Freiberger; TODESCO, José Leomar. OGDPub - An Ontology to Publish Open Government Data. In: LATIN AMERICAN SYMPOSIUM ON DIGITAL GOVERNMENT (LASDIGOV), 8. , 2020, Cuiabá. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 72-83. ISSN 2763-8723. DOI: https://doi.org/10.5753/wcge.2020.11259.