Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/14870
Transforming Meteorological Data into Linked Data
Título : Transforming Meteorological Data into Linked Data
Autor : Atemezing, GhislainCorcho, ÓscarGarijo, DanielMora, JoséPoveda-Villalón, MaríaRozas, PabloVila Suero, DanielVillazón-Terrazas, Boris
Palabras clave : Meteorology; Ontology; Linked Data; Sensor Networks
Fecha de publicación : 2013
Editor: IOS Press
Citación : Semantic Web: Interoperability, Usability, Applicability. 2013, 4(3), p. 285-290
Versión del editor: https://doi.org/10.3233/sw-120089
Resumen : 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.
Patrocinador: This work has been supported by the Spanish project myBigData (TIN2010-17060).
URI : http://hdl.handle.net/20.500.11765/14870
ISSN : 1570-0844
2210-4968
Colecciones: Artículos científicos 2010-2014


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