@article{
 title = {Transforming meteorological data into linked data},
 type = {article},
 year = {2013},
 keywords = {[Linked Data, Meteorology, Ontology, Sensor Networ},
 volume = {4},
 id = {4fcfa9c4-cb70-3b75-8717-63d4ec7b757e},
 created = {2016-11-01T02:06:10.000Z},
 file_attached = {false},
 profile_id = {a4dd3107-a343-3164-8df4-d46fe9e15cfc},
 last_modified = {2017-03-15T01:33:21.858Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {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. © 2012 - IOS Press and the authors. All rights reserved.},
 bibtype = {article},
 author = {Atemezing, G. and Corcho, O. and Garijo, D. and Mora, J. and Poveda-Villalón, M. and Rozas, P. and Vila-Suero, D. and Villazón-Terrazas, B.},
 doi = {10.3233/SW-120089},
 journal = {Semantic Web},
 number = {3}
}

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