Weather data publication on the LOD using SOSA/SSN ontology

Issue title: The Sensors, Observations, Actuators and the Web of Linked Data and Things

Guest editors: Federica Cena, Armin Haller and Maxime Lefrançois

Article type: Research Article

Authors: Roussey, Catherine^{; *} | Bernard, Stephan | André, Géraldine | Boffety, Daniel

Affiliations: [a] TSCF, Irstea, Clermont-Ferrand center, 9 avenue Blaise Pascal CS20085 63178 Aubière, France. E-mails: catherine.roussey@irstea.fr, stephan.bernard@irstea.fr, geraldine.andre@irstea.fr, daniel.boffety@irstea.fr

Correspondence: [*] Corresponding author. E-mail: catherine.roussey@irstea.fr.

Abstract: This paper presents an RDF dataset of meteorological measurements. The measurements come from one weather station at the Irstea experimental farm located in Montoldre. The measurements have been made from August 2018 until now. They have been transformed and published as Linked Open Data (LOD). The data schema is based on the new version of the Semantic Sensor Network ontology. This ontology version integrates the Sensor, Observation, Sample, and Actuator pattern. We first present the network of ontologies used to organize the data. Then, the transformation process for publishing the dataset is detailed. To conclude we present some use cases of queries related to Irstea research projects.

Keywords: Semantic Sensor Ontology, Sensor, Observation, Sample, and Actuator, Climate Linked Data, meteorological observation

DOI: 10.3233/SW-200375

Journal: Semantic Web, vol. 11, no. 4, pp. 581-591, 2020