A logical information system proposal for browsing terminological resources

Annie Foret (1, 2, 3)

1 LIS - Logical Information Systems
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
3 UR - Université de Rennes

This article presents an automated construction of a logical information context from a terminological resource, available in xml ; we apply this to the resource FranceTerme and to Camelis tool and we discuss how the resulting context can be used with such a tool dedicated to logical contexts. The purpose of this development and the choices related to this experiment is twofold : to facilitate the use of a rich linguistic resource available as open-data in xml ; to test and envision a systematic transformation of such xml resources to logical contexts. A logical view of a context allows to explore information in a flexible way, without writing explicit queries, it may also provide insights on the quality of the data. Such a context can be enriched by other information (of diverse natures), it can also be linked with other applications (according to arguments supplied by the context).

Mots clés: Scientific terminology; Technological terminology; Multilingual applications; Informa-tion extraction; Textual data mining; Information retrieval; Linguistic resources; Open Data; Infor-mation Quality; Legal Information

Domaines: Informatique et langage [cs.CL]; Logique en informatique [cs.LO]; Traitement du texte et du document; Linguistique; Recherche d'information [cs.IR]; Intelligence artificielle [cs.AI]; Environnements Informatiques pour l'Apprentissage Humain

Annie Foret. A logical information system proposal for browsing terminological resources. Terminology and Artificial Intelligence (TIA) 2015, Nov 2015, Grenade, Spain. ⟨hal-01253206⟩