Semantic relevance measure between resources based on a graph structure

Upon developing an information system, establishing an effective information retrieval method is the main problem along with the management of the information. With ontologies, the semantic structure of knowledge can be represented and the resources can be managed along with their context information. Observing that within this knowledge space, resources are not isolated but connected to each other by various types of relations, we believe that utilising those relations can aid information provisioning. In this paper, we explore the concept of the semantic relevance between resources and the semantic structure of a knowledge space, and present a relevance measuring algorithm between resources based on a graph structure, with two implementation examples.