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A Study on the Semantic Search using Inference Rules of the Structured Terminology Glossary “STNet”

KO, YOUNG MAN 1 Song Min Sun 1 이승준 1 Bee-Yeon Kim 1 Hye-Ryoung Min 1

1성균관대학교

Accredited

ABSTRACT

This study describes the Bottom-up method for implementation of an ontology system from the RDB. The STNet, a structured terminology glossary based on RDB, was served as a test bed for converting to RDF ontology, for generating the inference rules, and for evaluating the results of the semantic search. We have used protege editor of the ontology developing tool to design ontologies with test data. We also tested the designed ontology with the Inference Engine (Pellet) of protege editor. The generated reference rules were tested by TBox and SPARQL queries through STNet ontology. The results of test show that the generated reference rules were verified as true and STNet ontology were also evaluated to be useful for searching the complex combination of semantic relation.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.