Title: Ontology evolution for an experimental data integration system

Authors: Liliana Ibanescu; Patrice Buche; Stéphane Dervaux; Juliette Dibie; Rim Touhami

Addresses: UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France ' INRA & LIRMM, 2, Place Viala, 34060 Montpellier, France ' UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France ' UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France ' UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France

Abstract: This paper describes an ontology evolution activity designed for a data integration system called ONDINE (Ontology based Data INtegration) which proposes a complete workflow to acquire, annotate and query experimental data extracted from scientific documents. The core element of the ONDINE system is an ontology which allows experimental data annotation and querying. In order to adapt to domain changes, new usages and new annotated data, the ontology may change. This paper presents our a priori ontology evolution activity, which takes as input an ontology in a consistent state, defines and applies some changes and manages all the consequences of those changes by producing an ontology in a consistent state. The implementation and evaluation of the evolution activity are presented. Our work is illustrated through an ONDINE system's use case, the annotation of experimental data in the domain of matter transfer.

Keywords: ontology evolution; data integration system; web semantic language.

DOI: 10.1504/IJMSO.2016.083518

International Journal of Metadata, Semantics and Ontologies, 2016 Vol.11 No.4, pp.231 - 242

Received: 17 Jun 2016
Accepted: 28 Dec 2016

Published online: 07 Apr 2017 *

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