Un mod{è}le de base de connaissances terminologiques
This work addresses the need for improved TKBs to support terminology clarification in specific domains, but it appears incremental as it builds on existing TKB concepts without introducing major innovations.
The paper tackles the problem of designing Terminological Knowledge Bases (TKBs) that lack formal criteria but aim to clarify domain terminology by illustrating term uses in contexts, resulting in a TKB structure with three linked features: terms, concepts, and texts, along with defined modeling criteria at the conceptual level.
In the present paper, we argue that Terminological Knowledge Bases (TKB) are all the more useful for addressing various needs as they do not fulfill formal criteria. Moreover, they intend to clarify the terminology of a given domain by illustrating term uses in various contexts. Thus we designed a TKB structure including 3 linked features: terms, concepts and texts, that present the peculiar use of each term in the domain. Note that concepts are represented into frames whose non-formal description is standardized. Associated with this structure, we defined modeling criteria at the conceptual level. Finaly, we discuss the situation of TKB with regard to ontologies, and the use of TKB for the development of AI systems.