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Intégration de données hétérogènes et imprécises guidée par une ressource termino-ontologique

Abstract : In this paper we present some issues of knowledge engineering in the field of life sciences and, as an illustration, a data integration system opened on the Web, called ONDINE (Ontology based Data INtEgration), which proposes a complete workflow to extract, to seman- tically annotate and to query data from tables found in scientific documents from the Web. The core and key element of ONDINE is an Ontological and Terminological Resource (OTR) allo- wing the modeling of n-ary relations; concepts from this OTR are used to annotate tables. First we present the OTR model, then the semi-automatic method for semantic annotation of tables guided by this OTR, and finally our software system, @Web (Annotating Tables from the Web), designed to semantically annotate tables.
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Patrice Buche, Stéphane Dervaux, Juliette Dibie-Barthelemy, Liliana L. Ibanescu, Lydie L. Soler, et al.. Intégration de données hétérogènes et imprécises guidée par une ressource termino-ontologique. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2013, 27 (4-5), pp.539-568. ⟨10.3166/ria27.539-568⟩. ⟨lirmm-00903768⟩



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