Ontology of the new term

The relevance of the study is related to the state policy of scientific and technological development of the Russian Fed-eration, prioritizing areas such as information technologies and artificial intelligence as well as the state language policy in terminology. The policy aims to regulate the processes of term selection, unification of emerging, developing, or exist-ing terminologies, and lexicographic codification of terms. The emergence of new leads to an increase in new designa-tions in professional discourses, which are subsequently codified in specialized dictionaries, reference books, and standards. Some new terms become commonly used and enter dictionaries for widespread use. The study's material comprised new lexemes with highly specialized meanings, codified on the digital scientific and information academic resource “Academos.” In 2023, the resource dictionary was updated with over 200 items. Six ontological trends in fix-ing special vocabulary were identified: nesting of terms, codification of adjectives with highly specialized meanings, codification of nomenclature, elimination of formal variation of terms, fixation of non-free phrases of limited use, and an increase in the number of complex terms and abbreviations. The analysis indicates that new terms are the main source of replenishment of the modern Russian language, the object of its reflection and codification. There is a societal demand for the normalization of special vocabulary, as it is an integral part of professional communications. Digitalization has created an information channel connecting Russian language users, expert spellers, and spelling re-sources. Experts in professional fields can ask questions or send comments to expert spellers (e.g., on the Internet portal “Gramota.ru”), incorporating professional expertise into the process of selecting and codifying new terms. Expert comments from spelling linguists may be valuable when designing domain ontologies. Combining the capabilities and advantages of natural and formal logics can enhance the accuracy and efficiency of designing ontoterminologies.