Ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor Data - Université de Bourgogne
Communication Dans Un Congrès Année : 2020

Ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor Data

Résumé

Smart farming is coming with a clear promise to mitigate the myriad of threatens faced by vineyards. In this respect, relying on sensor data, new challenges are rising in order to proactively warn farmers. In this paper, we introduce the SmartVine approach, which extracts knowledge from collected data, converts it into inference rules and integrates them into the reasoning process of the system. In the sake of efficiency, generic bases of association rules are extracted, mapped then to SWRL rules and later used for the enrichment process of the ontology.
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Dates et versions

hal-02563458 , version 1 (05-05-2020)

Identifiants

Citer

Amira Mouakher, Aurélie Bertaux, Ouassila Labbani, Clémentine Hugol-Gential, Christophe Nicolle. Ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor Data. International Conference on Service-Oriented Computing : ICSOC 2019, Oct 2019, Toulouse, France. pp.168-177, ⟨10.1007/978-3-030-45989-5_14⟩. ⟨hal-02563458⟩
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