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Transforming meteorological data into Linked Data

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2013 Spain Publisher:SAGE PublicationsJournal:Semantic Web, volume 4, pages 285-290 (issn: 1570-0844,

Authors: Atemezing, Ghislain; Corcho, Óscar; Garijo, Daniel; Mora, José; Poveda-Villalón, María; Rozas, Pablo; Vila Suero, Daniel; +1 Authors

doi: 10.3233/sw-120089

handle: 20.500.11765/14870

Transforming meteorological data into Linked Data

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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.

This work has been supported by the Spanish project myBigData (TIN2010-17060).

Country

Spain

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Keywords

Informática, Meteorology, Ontology, Linked Data, Sensor Networks

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