LEXICO-SEMANTIC AND COGNITIVE ANALYSIS OF BIOMEDICAL ENGINEERING TERMINOLOGY (USING THE EXAMPLE OF BIOSENSOR AND BIOELECTRONIC SYSTEMS)
This article is devoted to the structuring the term system of biomedical engineering in Russian, English and Chinese by lexico-semantic and cognitive analysis. The terms of the thematic subgroup «Biosensor and bioelectronic systems» as a part of the term system of biomedical engineering are considered; they are listed in three languages (in Russian, English and Chinese); their Chinese phonetic transcriptions are shown after Chinese analogues; the compositions of this subgroup are systematized according to their lexico-semantic features, the internal hierarchical structure is presented in the scheme; its logical structure is organized on the basis of cognitive analysis by the method of frame modeling, the frame scheme clearly reflects the relationship between scientific concepts represented by the corresponding terms; each term is indexed according to its place in the term system. The results of the study allow us to conclude that, firstly, the term system of biomedical engineering is systemic on two levels: lexico-terminological and logico-conceptual; secondly, the lexico-semantic approach to the study of the term system’s structure shows the internal system relations between the constituent terms as lexical units, and the cognitive approach considers the terms as linguistic embodiments of scientific concepts in this area, therefore, using these two approaches to structuring the term system allows us to provide more complete information about the relationship between terms, complementing each other; thirdly, the result of the study is an important part of the terminological dictionary of biomedical engineering.
Authors
- Qiuye Zhao (ORCID: https://orcid.org/0000-0001-6011-100X)
Institutions
- St Petersburg University (RU)
Publication Details
- Journal
- Bulletin of Chelyabinsk State University
- Published
- 2025-03-25
- DOI
- https://doi.org/10.47475/1994-2796-2025-496-2-15-26
- Primary Topic
- Medical and Biological Sciences
- Type
- article
- Field-Weighted Citation Impact
- 0.00