An important problem of the automated construction of ontologies as a knowledge system is intellectualization, as well as the related data integration and qualitative information search. In this connection, the task of automated formation of ontologies is quite urgent. The most common quality criterion of the ontology is based on the assessment of the convenience and efficiency of working with it, and the presence of a connection between cognitive and semantic processes, which contributes to the process of its construction and actualization. The main difference of the conducted analysis, the results of which are presented in this work, are cognitive information technologies of the subject area, cognitive-semantic analysis based on the theory of categories, mathematical logic and universal algebra, construction of an ontological dictionary and ontological constructions. The informational interaction of the intellectual environment of the object with the subject is defined. For the formation of the concept in the intellectual environment due to the attached information space, the possibility is determined and the application of the concept and its features within the framework of the problem is substantiated. The construction of ontologies is based on the connection of cognitive processes with semantic ones and actualization – description and identification of sources of cognitive information in intellectual environments of subject areas. Linguistic-semantic analyzer is the main method of analyzing the emergence of new concepts, identification of semantically compatible concepts from various sources of knowledge, formation of textual stereotypes, prototypes and invariants in the form of text written with the words of this dictionary and terms contained in the thesaurus – by searching in text arrays of varying degrees of structuring of minimal semantic units and the use of object-oriented multivariate analysis in the construction of a system of templates with fuzzy calculations for class fields.