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Transforming meteorological data into Linked Data

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OA
AI
G
Ghislain Auguste Atemezing
Ó
Óscar Corcho
D
Daniel Garijo
J
José Ferrater Mora
M
María Poveda‐Villalón
P
Pablo Rozas
D
Daniel Vila-Suero
DOI:10.3233/SW-120089delete
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Abstract

Abstract

En 中文
We describe the AEMET meteorological dataset, which makes available some data sources from the Agencia Estatal de Meteorologia (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.
Keywords:
Meteorology
ontology
Linked Data
Sensor Networks
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Journal

Semantic Web cover
Semantic Web
IF:
2.9
Papers:
604
Citations:
1.6K

Organization

U
Universidad Politecnica de Madrid
Scholars:
1.4W
Papers: 1.2W
Citations: 10
A
agencia estatal de meteorologia (aemet)
Scholars:
426
Papers: 323
Citations: 0
I
imt - institut mines-telecom
Scholars:
7.4K
Papers: 6.4K
Citations: 5
EURECOM cover
EURECOM
Scholars:
250
Papers: 240
Citations: 62
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