In:Theoretical Perspectives on Terminology: Explaining terms, concepts and specialized knowledge
Edited by Pamela Faber and Marie-Claude L'Homme
[Terminology and Lexicography Research and Practice 23] 2022
► pp. 111–126
Chapter 5Concept management for Terminology
A Knowledge Engineering approach
Published online: 14 June 2022
https://doi.org/10.1075/tlrp.23.05mey
https://doi.org/10.1075/tlrp.23.05mey
Abstract
Terminology has both a linguistic and a conceptual dimension, and the general goal of our research is to develop a computer aid to facilitate the latter. Concept management is crucial to all stages of terminology work as it is practiced today and will become even more so for the next generation of term banks. The central argument of this paper is that concept management technology should draw on developments in Knowledge Engineering, since knowledge engineers and terminologists share a number of fundamental conceptual problems. As an illustration, we describe the work underway at the Artificial Intelligence Laboratory of the University of Ottawa, where a knowledge engineering tool for terminology applications is under active development.
Article outline
- 1.Introduction
- 2.The role of concept management in terminology work
- 2.1Concept management/or today’s terminology work
- 2.2Selection of documentation
- 2.3Establishment of a terminology
- 2.4Preparation of term records
- 2.5Quality control
- 2.6Concept management for the next generation of term banks
- 3.A Knowledge Engineering approach to concept management
- 3.1Similarities between Knowledge Engineering and Terminology
Acknowledgements Notes
Cited by (1)
Cited by one other publication
Chambó, Santiago & Pilar León Araúz
2023. Corpus-driven conceptual analysis of epidemic and coronavirus for the Humanitarian Encyclopedia. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 29:2 ► pp. 180 ff.
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