Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
JCR del ISI	No
Título de la revista	Transforming Meteorological Data into Linked Data
ISSN	1570-0844
Factor de impacto JCR
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• Autor: Oscar Corcho Garcia (UPM)
• Autor: Daniel Garijo Verdejo (UPM)
• Autor: Jose Mora López (UPM)
• Autor: Maria Poveda Villalon (UPM)
• Autor: Daniel Vila Suero (UPM)
• Autor: Boris Marcelo Villazón Terrazas (UPM)

• Creador: Grupo de Investigación: Ontology Engineering Group
• Departamento: Inteligencia Artificial