The Technology for Semantic Interoperability based on a Cognitive Approach

Abstract

The article presents the results of research conducted to select the means of software implementation (construction) of an ontology used to ensure semantic interoperability of information systems (IS). Previously, the authors of the article have identified several specific features of this type of ontology. Based on the analysis of structures and methods for constructing ontologies, it has been concluded that it is advisable to include concepts that allow describing both the static condition and dynamic changes in the state of objects in the data domain, into the ontology used to ensure semantic interoperability of the IS. The authors have identified the main types of concepts used and have determined a set of mandatory attributes (properties) that characterize each of the objects and possible types of relationships with other concepts. The present article analyzes the possibilities of using existing ontology description languages, metadata representation models, system design languages, algorithms, and software implementations of ontology editors, as well as the possibilities of using relational and graph database management system (DBMS) to build ontologies used to ensure semantic interoperability. The article substantiates the choice of a tool for software implementation (construction) of an ontology used to ensure semantic interoperability of the IS. Using the selected software tools, a fragment of ontology is constructed, which can be applied to ensure semantic interoperability of the IS. In conclusion, the authors present a unified algorithm for constructing ontology to ensure semantic interoperability. The practical significance of the obtained scientific results lies in the development of approaches to the creation of the IS. The results obtained will allow creating IS that would implement the cognitive functions of understanding the content of requests when processing them in the means of the interaction of the IS. The research results in the field of semantic interoperability will allow improving the intelligent IS performance quality that will enable IS to solve a wider range of intelligent tasks.