PROBLEMS OF ENSURING INTEROPERABILITY IN THE INTEGRATION OF EXISTING AUTOMATED CONTROL SYSTEMS AND INFORMATION SYSTEMS BASED ON INTELLIGENT TECHNOLOGIES
Rubrics: ARTICLES
Authors:
1.
St. Petersburg State University of Aerospace Instrumentation
2.
St. Petersburg State University of Aerospace Instrumentation
3.
St. Petersburg State University of Aerospace Instrumentation
4.
St. Petersburg State University of Aerospace Instrumentation
5.
St. Petersburg State University of Telecommunications
Type:
Article
Pages:
from 5
to 13
Status:
Published
Received:
11.01.2025
Accepted:
11.01.2025
Published:
11.01.2025
Subject area:
UDK УДК
Language:
Russian
Keywords:
interoperability, domain model, ontology, data, knowledge, graphs, application software, artificial intelligence
Abstract (English):
The article discusses the specifics of knowledge engineering in ensuring the interoperability of existing and modernized automated control systems and information systems. It is shown that interoperability can be ensured by declarative design based on conceptual modeling and ontological description of the stages of the life cycle. Declarative design can be described within the framework of a logical-linguistic model, while experts develop knowledge graphs on the basis of which private ontologies of various stages of the life cycle are compiled.
The article discusses the specifics of knowledge engineering in ensuring the interoperability of existing and modernized automated control systems and information systems. It is shown that interoperability can be ensured by declarative design based on conceptual modeling and ontological description of the stages of the life cycle. Declarative design can be described within the framework of a logical-linguistic model, while experts develop knowledge graphs on the basis of which private ontologies of various stages of the life cycle are compiled.
Keywords:
interoperability, domain model, ontology, data, knowledge, graphs, application software, artificial intelligence
interoperability, domain model, ontology, data, knowledge, graphs, application software, artificial intelligence
1.
