Inverse-additive semantic metric and distance calculation between ontology concepts

Abstract

The problems of metric construction are crucial for solving the task of quantitative evaluation of both systems of objects of any nature and the relationships that describe the connections between the components of these systems. A metric has been developed for evaluating relationships between concepts in a non-taxonomic ontology (for any semantic network of concepts). The practical significance of the research lies in the development of an accurate and efficient semantic metric that can improve the outcomes of ontology processing tasks, such as information retrieval, classification, and knowledge discovery. The proposed metric can be useful for the development of effective intelligent systems that utilize ontologies for knowledge representation, particularly in the development of security systems for apartment buildings or residential neighborhoods. An analysis and justification of the proposed metric have been conducted.