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 First, the huge ontologies that have many concepts, is out of date and changed the meaning. Secondly, the many new 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.
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Kim, W., Kong, H., Oh, K., Moon, Y., Kim, P. (2003). Concept Based Image Retrieval Using the Domain Ontology. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44843-8_43
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DOI: https://doi.org/10.1007/3-540-44843-8_43
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