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Poster Communications Year : 2022

WeKG-MF: a Knowledge Graph of Observational Weather Data


In this paper, we present the WeKG-MF Knowledge Graph constructed from open weather observations published by Météo-France institution. WeKG-MF relies on a semantic model that formalizes knowledge about meteorological observational data. The model is generic enough to be adopted and extended by meteorological data providers to publish and integrate their sources while complying with Linked Data principles. WeKG-MF offers access to a large number of meteorological variables described through spatial and temporal dimensions and thus has the potential to serve several scientific case studies from different domains including agriculture, agronomy, environment, climate change and natural disasters.
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Dates and versions

hal-03657694 , version 1 (03-05-2022)
hal-03657694 , version 2 (01-06-2022)



Nadia Yacoubi Ayadi, Catherine Faron, Franck Michel, Fabien Gandon, Olivier Corby. WeKG-MF: a Knowledge Graph of Observational Weather Data. ESWC 2022 - 19th Extended Semantic Web Conference, May 2022, Hersonissos, Greece. ⟨10.1007/978-3-031-11609-4_19⟩. ⟨hal-03657694v2⟩


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