A Mathematical Model of the Variety of Natural Language Semantic Structures and Its Significance for Biomedical Sciences

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Theoretical framework reveals semantic interactions in natural language for biomedical applications, suggesting improvements.

This analysis enhances understanding of semantic structures in natural language, indicating novel applications in biomedical sciences.
Key evidence demonstrates advantages of the TKR-based approach over other semantic models, pointing to enhanced clarity in definitions.
Observational analysis using mathematical models of SK-languages shows interactions that improve semantic representations of scientific concepts.
These findings may enable clearer communication in biomedical fields, but further integration of practical applications is needed.

Vladimir A. Fomichov (2025) studied this question.

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