Інформаційна технологія образного аналізу тексту та синтезу структурно-функціональних моделей системи обробки природномовного контенту

Abstract

The dissertation is dedicated to the solution of a problem of resolving class of semantic-dependent tasks based on processing and accumulation of general knowledge figurative sense. A basic theory of image analysis of textual information is developed. A basis of a formal theory for communicative subgroup of image structures, methods of generating a fuzzy sense relation, which produces a fuzzy measure space based on formalizing the notion of infologic system and ontogenesis principle is laid down. A methodology for the synthesis of structural-functional models of systems based on natural language information and functional model system for processing natural language content (SPNLC) is offered. Algorithms for implementing basic types of image search, methods for modeling the image mechanism of working memory of SPNLC and components of paradigmatic language structure are elaborated. These components of information technology based SPNLC been implemented and successfully tested in public and private organizations and academic institutions in Ukraine and abroad.