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Transforming Meteorological Data into Linked Data
Title: Transforming Meteorological Data into Linked Data
Authors: Atemezing, GhislainCorcho, ÓscarGarijo, DanielMora, JoséPoveda-Villalón, MaríaRozas, PabloAutor AEMETVila Suero, DanielVillazón-Terrazas, Boris
Keywords: Meteorology; Ontology; Linked Data; Sensor Networks
Issue Date: 2013
Publisher: IOS Press
Citation: Semantic Web: Interoperability, Usability, Applicability. 2013, 4(3), p. 285-290
Publisher version:
Abstract: We describe the AEMET meteorological dataset, which makes available some data sources from the Agencia Estatal de Meteorología (AEMET, Spanish Meteorological Office) as Linked Data. The data selected for publication are generated every ten minutes by approximately 250 automatic weather stations deployed across Spain and made available as CSV files in the AEMET FTP server. These files are retrieved from the server, processed with Python scripts, transformed to RDF according to an ontology network (which reuses the W3C SSN Ontology), published in a triple store and visualized using Map4RDF.
Sponsorship : This work has been supported by the Spanish project myBigData (TIN2010-17060).
ISSN: 1570-0844
Appears in Collections:Artículos científicos 2010-2014

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