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Context Aware System Observation Ontology (CASO) and IRRIG

The Context Aware System Observation ontology describes all the data that can be used by a contextual system, whether it be sensor measurements, aggregates, or inference results. IRRIG is a specialization of CASO to describe the data manipulated by a contextual system controlling irrigation. The use case concerns the automation of the irrigation guidelines proposed in the IRRINOV method of Arvalis.

CASO and IRRIG ontologies have been developed following the linked open terms (LOT) methodology using the Ontoology tool suite. These ontologies have been published on the Linked Open Vocabulary LOV and Agroportal.

Les uris associés sont:

Git repositories are available:


Q-D. NGUYEN. Interoperability and Upgradability Improvement for Context-Aware Systems in Agriculture 4.0, Thèse Informatique de l'Université Clermont Auvergne, soutenue le 16-07-2020 à Aubière

Q-D. NGUYEN, C. ROUSSEY, M. POVEDA-VILLALÓN, C. DE VAULX , J-P. CHANET. Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies. Applied Science 2020, 10(5), 1803;

M. POVEDA-VILLALON, Q.-D. NGUYEN, C. ROUSSEY, J.-P. CHANET, C. DE VAULX. Ontological requirement specification for smart irrigation systems: a SOSA/SSN and SAREF comparison. In Proceedings of the 9th International Semantic Sensor Networks Workshop SSN2018, Monterey, USA, October 9th 2018.

M. POVEDA-VILLALON, Q-D NGUYEN, C. ROUSSEY, J.-P. CHANET, C. DE VAULX. Besoins ontologiques d’un système d’irrigation intelligent : comparaison entre SSN et SAREF. Dans les Actes des 29e Journées Francophones d'Ingénierie des Connaissances IC 2018, adossée à la 11e Plate-forme Francophone d'Intelligence Artificielle, 2-6 juillet 2018, Nancy, p 21-36.

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