Ontological Analysis of Cognitive Information Technologies Subject Area

Abstract

The most important problem of automated ontology building is intellectualisation, and the related data integration and qualitative information retrieval. In the light of the issues of data science and advanced analytics, the task of automated ontology formation is quite relevant. A common criterion for the quality of an ontology is based on an assessment of the convenience and efficiency of working with it and the connection of cognitive processes with semantic ones for its construction and updating. The main difference of the analysis, the results of which are presented in this paper, is the cognitive information technologies of the subject area, cognitive and semantic analysis based on the theory of categories, mathematical logic and universal algebra, construction of an ontological dictionary, ontological constructions, which was carried out for the first time. The information interaction of the intellectual environment of the object with the subject is determined. For the formation of the concept in the intellectual environment due to the connected information space, the possibility and justification of its use for normalising the concept and its features within the framework of the problematic is determined.