Weather 2017 with SOSA ontology

Weather 2017 is the providing of RDF data about one of the meteorological stations that Irstea owns in its experimental farm at Montoldre. A set of data collected between january and july 2017 is available. It uses the new Semantic Sensor Network Ontology, called (and prefixed) sosa. We also reused some specific ontologies:

  • To reference weather phenomena, the sweet ontology is reused.
  • The Climate and Forecast thesaurus is reused directly to describe property of weather phenomena.
  • The unit are described by the QUDT ontology.
  • The sensor are described by the AWS ontology.
  • The location of the weather station is described by the LOCN vocabulary and the geosparql ontology.

This was done for the same station with data callected from years 2010 to 2015, using the old Semantic Sensor Network Ontology and is available here.

The data are available under the french open licence of etalab https://www.etalab.gouv.fr/licence-ouverte-open-licence. This licence it is compatible with the «Open Government Licence» (OGL) of the United Kingdom, the «Creative Commons Attribution 2.0» (CC-BY 2.0) licence of Creative Commons and the «Open Data Commons Attribution» (ODC-BY) licence of the Open Knowledge Foundation.

Access to SPARQL End Point

Access with a Web browser

Access for developer using their own SPARQL client

Access with other SPARQL client (such as sparql-query) is available on the URL http://ontology.irstea.fr/weather2017/query or http://ontology.irstea.fr/weather2017/sparql. Please limit the results of queries because the database contains more than 18,500,000 triples (one measure per minute).

Data Structure

Platform

Sensor

Observation

Time Interval

Time Instant

Weather data

BSV

AgronomicTaxon

AgroTechnoPôle

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