Ontology Evolution for Experimental Data in Food

Rim Touhami 1, 2, * Patrice Buche 3, 1 Juliette Dibie 2, 4 Liliana Ibanescu 2, 4
* Corresponding author
3 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Throughout its life cycle, an ontology may change in order to adapt to domain changes or to new usages. This paper presents an ontology evolution activity [1] applied to an ontology dedicated to the annotation of experimental data in food [2], and a plug-in, DynarOnto, which assists ontology engineers for carrying out the ontology changes. Our evolution method is an a priori method which takes as input an ontology in a consistent state, implements the changes selected to be applied and manages all the consequences of those changes by producing an ontology in a consistent state.
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Rim Touhami, Patrice Buche, Juliette Dibie, Liliana Ibanescu. Ontology Evolution for Experimental Data in Food. MTSR: Metadata and Semantics Research, Sep 2015, Manchester, United Kingdom. pp.393-404, ⟨10.1007/978-3-319-24129-6_34⟩. ⟨lirmm-01224081⟩

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