Transforming meteorological data into Linked Data

نویسندگان

  • Ghislain Auguste Atemezing
  • Óscar Corcho
  • Daniel Garijo
  • José Mora
  • María Poveda-Villalón
  • Pablo Rozas
  • Daniel Vila-Suero
  • Boris Villazón-Terrazas
چکیده

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.

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عنوان ژورنال:
  • Semantic Web

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2013