Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11765/14870
Transforming Meteorological Data into Linked Data
| Title: | Transforming Meteorological Data into Linked Data |
| Authors: | Atemezing, Ghislain; Corcho, Óscar; Garijo, Daniel; Mora, José; Poveda-Villalón, María; Rozas, Pablo
; Vila Suero, Daniel; Villazón-Terrazas, Boris |
| Keywords: | Meteorology; Ontology; Linked Data; Sensor Networks |
| Issue Date: | 2013 |
| Publisher: | IOS Press |
| Citation: | Semantic Web: Interoperability, Usability, Applicability. 2013, 4(3), p. 285-290 |
| Publisher version: | https://doi.org/10.3233/sw-120089 |
| Abstract: | 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. |
| Sponsorship : | This work has been supported by the Spanish project myBigData (TIN2010-17060). |
| URI: | http://hdl.handle.net/20.500.11765/14870 |
| ISSN: | 1570-0844 2210-4968 |
| Appears in Collections: | Artículos científicos 2010-2014 |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | SW_Atemezing_2013.pdf | 605,75 kB | Adobe PDF |  View/Open |
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