Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [42 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00903768
Contributor : Patrice Buche <>
Submitted on : Friday, May 29, 2020 - 3:38:17 PM
Last modification on : Wednesday, November 18, 2020 - 7:02:02 PM

Identifiers

Citation

Patrice Buche, Stéphane Dervaux, Juliette Dibie-Barthelemy, Liliana Ibanescu, Lydie 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⟩

Share

Metrics

Record views

1298

Files downloads

100