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JOURNALS // Informatics and Automation // Archive

Informatics and Automation, 2021 Issue 20, volume 3, Pages 562–590 (Mi trspy1153)

This article is cited in 4 papers

Artificial Intelligence, Knowledge and Data Engineering

Formalization of regulatory texts

M. Voronova, V. Pimenovb

a Moscow State University of Psychology & Education
b Saint-Petersburg State University of Industrial Technologies and Design

Abstract: Modern information technologies provide text manipulation processes with high efficiency. First of all, this means storing, editing, and formatting texts and their components. Having achieved significant success in developing tools for content-free computer text processing, researchers faced problems with their content processing. Therefore, further steps in this direction are associated with the creation, among other things, of methods for automated purposeful manipulation of texts, taking into account their content. The analysis of works devoted to the study of the problems of formal presentation of texts and their subsequent use is carried out. Despite a number of successful projects, the challenges of solving the problem of the relationship between the content of the text and its meaning remain relevant. It seems that formalization of a General-purpose text while preserving its semantics is not feasible at this stage. However, there are types of texts that can be formalized while preserving their semantics. One of them is a regulatory text type, which is essentially a verbally expressed algorithm for a sequence of targeted actions. It is distinguished by logic and accuracy (lack of allegories), coherence and integrity, clarity, understandability (due to the lack of emotional coloring and figurative means), accessibility (due to the use of specific terminology). In other words, when developing regulatory texts, they usually try to display the mechanisms of the described actions as clearly as possible. Purpose: development of a method for formalizing a regulatory text while preserving its semantics. Methods: structural linguistics, representation of objects in the form of an ontology, constructive algorithms. The use of this method is demonstrated by describing the solution of a system of algebraic equations. Results: method for constructing a mathematical model of a regulatory text. Practical relevance: the application of the developed method makes it possible to develop software systems for building libraries of individual subject areas, develop tools for evaluating regulatory texts for their certainty, completeness, connectivity and other characteristics, as well as simulators and self-learning tools.

Keywords: regulatory text, artificial intelligence, mathematical model, constructive algorithm, ontology, frame.

UDC: 681.518 + 658.511

DOI: 10.15622/ia.2021.3.3



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