SEMANTIC FIGURATIVE MODELING IN THE INFORMATION FIELD

Author(s): Tsvetkov V.Ya., Danilov M.A., Litvinov V.V., Kurdyukov N.S.

Rubric: Information technology

DOI: 10.21777/2500-2112-2023-4-70-78

Release: 2023-4 (45)

Pages: 70-78

Keywords: information field, information figurative models, morphological modeling, semantic modeling

Annotation: The article explores the morphology and semantics of information figurative models. A new interpretation is introduced into the concepts of “morphology” and “semantics” by establishing a connection between them for a certain type of models. The difference between the morphology of information figurative models and the morphological box and F. Zwicke’s approach is considered. The article develops the idea that morphology and semantics complement each other in figurative information models. The analysis of content and form as the ba- sis of semantics and morphology is carried out. From the standpoint of morphology, the content of uncertainty and fuzziness of information figurative models is revealed. The idea is developing that morphology is a formal characteristic, and semantics is an actual characteristic. It is shown that the structure of the model for abstract situations is formally a morphological indicator. It is noted that there are other situations for which the structure characterizes related semantics and morphology. In these cases, morphological modeling changes the semantics. A figurative analysis of certainty and uncertainty and the concept of “polysemy” is given. Conceptual mixing is considered, a number of procedures for this type of semantic modeling are given. It is noted that semantic and morphological modeling are related for figurative information models. The results of the methodological research are aimed at developing a systematic approach to the development of semantic figurative models in the information field.

Bibliography: Tsvetkov V.Ya., Danilov M.A., Litvinov V.V., Kurdyukov N.S. SEMANTIC FIGURATIVE MODELING IN THE INFORMATION FIELD // Education Resources and Technologies. – 2023. – № 4 (45). – С. 70-78. doi: 10.21777/2500-2112-2023-4-70-78