Concept based image retrieval using the domain ontology

Authors:
Wonpil Kim;Hyunjang Kong;Kunseok Oh;Yoojin Moon;Pankoo Kim
Affiliations:
Dept. of Computer Science and Engineering, Chosun University, Gwangju, Korea;Dept. of Computer Science and Engineering, Chosun University, Gwangju, Korea;Kwangju Health College, Gwangju, Korea;Hankuk Univ. of Foreign Studies, Seoul, Korea;Dept. of Computer Science and Engineering, Chosun University, Gwangju, Korea
Venue:
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Year:
2003

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Abstract

The recent study has been progressed the research about more semantic image indexing and retrieval. In our paper, we represent the improved concept-based image retrieval by using domain ontology. We analyze the many studies that applied the theory of ontology to concept-based image retrieval. Then, we try to solve the problems when we apply the huge ontologies in image retrieval system. There are two big problems. First, the huge ontologies that have many concepts, especially in particular domain, cannot express in existing ontologies. Therefore, in this paper we try to design and implement the domain ontology about the car based on the WordNet, which is one kinds of ontologies. The experimental result shows that the semantic distances between words are quite close when we test domain ontology than the existing WordNet.