Open AccessFormal-semantic normative system for graphic-analytical modelling
Author(s) -
С. И. Маторин,
V. V. Mikhelev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2060/1/012020
Subject(s) - computer science , normative , object (grammar) , basis (linear algebra) , alphabet , function (biology) , connection (principal bundle) , artificial intelligence , programming language , theoretical computer science , natural language processing , mathematics , philosophy , linguistics , geometry , epistemology , evolutionary biology , biology
A formal-semantic normative system (FSNS) is presented in this paper. The FSNS allows us to describe the links and functional units of typical information processes. The possibility of using the FSNS to automate graphical-analytical modelling and machine learning is shown. Properties of the FSNS are described. On its basis, a method is developed for specifying a formal alphabet of system connection nodes that has a specific subject content. The rules for manipulating the received alphabetic characters are also presented. The possibility and expediency of building a normative system with increased expressive capabilities is substantiated. This paper provides a brief description of the «Unit-Function-Object» system-object approach. Considered the possibility of using DL for the FSNS in an unambiguous, formalized form. An example of using the FSNS is presented.