Ontological Engineering in Complex Systems Based on Meta-Associative Graphs

Abstract

The paper proposes a variety of metagraphs focused on the use in ontological engineering of complex systems characterized by complexity of structure, multicomponent nature, the presence of functional subsystems that solve various target tasks, and a large number of parameters characterizing the processes of the system. Ontological engineering aims to ensure the adoption of high-quality management decisions by increasing the level of integration of the necessary information, improving the search capabilities of databases and knowledge, and providing the possibility of joint work with the knowledge base, which is provided by a single semantic description of applied ontology. Meta-associative graphs allow providing a flexible representation of the ontology of the domain of a complex system suitable for modeling system processes and ensuring the functioning of information-analytical processes in the system, minimizing, in situations with no need for detail, the necessary number of steps to obtain the necessary information, but, if there is a need for detailed data, providing the ability to get all the related data. The inclusion of the process component in the ontological model of the system makes it possible to increase the overall flexibility of process modeling.