Transforming meteorological data into linked data

Corcho, Oscar and Garijo Verdejo, Daniel and Mora, Jose and Poveda Villalon, Maria and Vila Suero, Daniel and Villazón-Terrazas, B. and Rozas, Pablo and Atemezing, Ghislain Auguste (2012). Transforming meteorological data into linked data. "Semantic Web", v. Specia ; ISSN 1570-0844.


Title: Transforming meteorological data into linked data
  • Corcho, Oscar
  • Garijo Verdejo, Daniel
  • Mora, Jose
  • Poveda Villalon, Maria
  • Vila Suero, Daniel
  • Villazón-Terrazas, B.
  • Rozas, Pablo
  • Atemezing, Ghislain Auguste
Item Type: Article
Título de Revista/Publicación: Semantic Web
Date: July 2012
Volume: Specia
Freetext Keywords: meteorology, ontology, Linked Data, Sensor Networks, meteorología, ontología, datos enlazados, redes de sensores.
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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This paper describes the process followed in order to make some of the public meterological data from the Agencia Estatal de Meteorología (AEMET, Spanish Meteorological Office) available as Linked Data. The method followed has been already used to publish geographical, statistical, and leisure data. The data selected for publication are generated every ten minutes by the 250 automatic stations that belong to AEMET and that are deployed across Spain. These data are available as spreadsheets in the AEMET data catalog, and contain more than twenty types of measurements per station. Spreadsheets are retrieved from the website, processed with Python scripts, transformed to RDF according to an ontology network about meteorology that reuses the W3C SSN Ontology, published in a triple store and visualized in maps with Map4rdf.

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Item ID: 16418
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Deposited by: Memoria Investigacion
Deposited on: 26 Jul 2013 14:44
Last Modified: 21 Apr 2016 16:43
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