Un mod{\`e}le de base de connaissances terminologiques

TL;DR

This paper proposes a non-formal, structured approach to building Terminological Knowledge Bases (TKBs) that clarify domain terminology through contextual term usage, concepts, and texts, aiding AI system development.

Contribution

It introduces a novel TKB structure with linked terms, concepts, and texts, and discusses its relation to ontologies and AI applications.

Findings

Designed a TKB structure with terms, concepts, and texts

Defined modeling criteria at the conceptual level

Discussed TKB's role in AI system development

Abstract

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.