COGNITIVE ELEMENTS OF INFORMATION ENVIRONMENTS

Abstract

The most important problem of the automated construction of ontologies based on the semantic analysis of natural language texts is intellectualization and related data integration and qualitative information search. However, these technologies require the availability of quality semantic data sources, and the data sources are not sufficiently sophisticated to be conveniently used or integrated. In connection with this problem, the task of automated formation of ontologies based on natural language text analysis in construction is relevant. A common criterion of the quality of an ontology is based on the assessment of the convenience and efficiency of working with it, as well as the presence of a connection between cognitive and semantic processes for its construction and actualization in the field of construction. The main difference of the conducted research, the results of which are presented in the proposed work, is a cognitive-semantic analysis based on the theory of categories, mathematical logic and universal algebra, algebra of sets, algebra of tuples and relational algebra, namely, the construction of an ontological dictionary, ontological constructions corresponding to the text in open languages, presentation of knowledge. In the work, the classification and definition of information units, their sources, as well as the features of the information resource are determined.