Automatic extraction of corollaries from semantic structure of text

The aim of this study is to develop an algorithm for automatic representation of the text of natural language as a formal system for the subsequent automatic extraction as reasonable answers to profound questions in the context of the text, and the deep logical consequences of the text and related areas of knowledge to which the text refers. The most universal method of constructing algorithms of automatic treatment of text for a particular purpose is a representation of knowledge in the form of a graph expressing the semantic values of the text. The paper presents an algorithm of automatic presentation of text and its associated knowledge as a formal logic programming theory for sufficiently strict texts, such as legal texts. This representation is a semantic-syntactic as the causal-investigatory relationships between the various parts are both logical and semantic. This representation of the text allows to resolve the issues of causal-investigatory relationships of present concepts, as methods of the theory and practice of logic programming and methods of model theory as well. In particular, these means of classical branches of mathematics can be used to address such issues as the definition and determination of consequences and questions of consistency of the theory.