Systems and ontological analyses: similarities and differences be-tween the concepts

Author:

Borgest Nikolay M.ORCID

Abstract

Terms, concepts and their content are not only the foundations of public communications, the keys to mutual understanding, knowledge transfer and cognition, but also fundamental elements in the construction of computer ontologies for artificial intelligence systems. The evolution of knowledge in subject areas leads, as a consequence, to the evolution of language, which is forced to change, borrowing words from other areas, expanding their meanings. The concept of systems analysis has a broad interpretation and is actively used in various fields of activity (science, economics, design, engineering, etc.), going deeper and adapting to specific subject and subject areas. The concepts related to system analysis (system, subject area, problem area, etc.) are also evolving. Systems analysis focuses on the relationships between elements of a system and determining its structure and functions; it includes various modeling and optimization methods and is used to solve specific problems and problems. Ontological analysis is associated with the study and description of objects, events, processes and relationships in the subject area, of which the system (or systems) may be a part; describes the structure and properties of the elements that make up the system and the relationships between them; used to create a formal description of a system and provide a general understanding of its components. The result of ontological analysis can be the basis for systems analysis or a part of it. Systems and ontological analyses are aimed at understand complex systems and their components and can be used together. The difference between these concepts is largely determined by the content of the field of study concepts, its boundaries, the object of research as a process, goal setting, the traditions and context that have developed among researchers in specific subject areas. Within the framework of the accepted nomenclature of scientific specialties of the Higher Attestation Commission, it can be argued that ontological analysis is included in the scientific specialty “Systems analysis, control and information processing, statistics.”

Publisher

Samara National Research University

Reference48 articles.

1. Order of the Ministry of Education and Science of Russia dated February 24, 2021 N 118 (as amended on May 11, 2022) [In Russian]. "On approval of the nomenclature of scientific specialties for which academic degrees are award-ed, and amendments to the Regulations on the Council for the defense of dissertations for the degree of Candidate of Sciences, for the degree of Doctor of Science, approved by order of the Ministry of Education and Science of the Rus-sian Federation of November 10, 2017 N 1093".

2. Development problems of ontology of science: Classification analysis

3. Borgest NM. Keywords of ontology of designing: review, analysis, generalization [In Russian]. Ontology of designing. 2013; 3(3): 9-31.

4. Dubrovsky VYa, Shchedrovitsky LP. Problems of system engineering and psychological design [In Russian]. Moscow: Moscow University Publishing House, 1971. 94 p.

5. Anokhin PK. Fundamental issues of the general theory of functional systems [In Russian]. In collection. Principles of systemic organization of functions. Moscow: Nauka, 1973. P.5–61.

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