KNOWLEDGE PROCESSING TECHNOLOGIES IN THE AREA OF COMPUTER SCIENCE

The article discusses the methods of creating, applying and analyzing knowledge bases with a description of subject areas. The methods considered apply an integrated approach to knowledge representation.

Abstract

The article discusses the methods of creating, applying and analyzing knowledge bases with a description of subject areas. The methods considered apply an integrated approach to knowledge representation.

An approach is proposed to create an intelligent system focused on solving complex problems, the basis of which are semantic models of knowledge bases, as well as consistent models of machines for processing knowledge bases. The basis for the creation of these models is a unified semantic representation of knowledge based on universal semantics with theoretical multiple interpretation. On the basis of this language, an open family of joint languages is built, the meaning of each language is set by an appropriate ontological approach. The semantic model of machine processing of basic knowledge is based on the concept of multiagents, which assumes the interaction of agents with each other through common semantic memories.

In order to more effectively develop knowledge in the field of computer science, the author defines the classification of knowledge, explains the choice of ways to develop knowledge, analyzes forms, methods of control depending on the information approach.