• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
Menu

Design and Implementation of Domain Ontology to Overcome Conceptual Heterogeneity in Annotation-based Image Retrieval


Kim Won-Pil, Kim Pan-Koo, Journal of Internet Computing and Services, Vol. 4, No. 4, pp. 1-8, Aug. 2003
Full Text:  HTML
Keywords: Antelligent-Concept Based Image Retrieval, Conceptual Heterogeneity, Domain Ontology

Abstract

As the multimedia information retrieval system is advanced, the study of multimedia information retrieval is changing the method of low-level content based image retrieval to the semantical concept based retrieval. in this paper, we apply the theory of ontology to overcome the conceptual heterogeneity in the annotation based image retrieval. And we solve the some problems that happen when the ontology apply. As a result of our study, we try to apply the domain ontology to settle the conceptual heterogenity. In the experimental result, we knew that the semantic distance among the words is pretty dose when we apply the domain ontology than the wordnet. And in this paper, we show the possibility of the semantic image retrieval as we apply the domain ontology in the annotation based image retrieval.


Statistics
Show / Hide Statistics

Statistics (Past 3 Years)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
Won-Pil, K. & Pan-Koo, K. (2003). Design and Implementation of Domain Ontology to Overcome Conceptual Heterogeneity in Annotation-based Image Retrieval. Journal of Internet Computing and Services, 4(4), 1-8.

[IEEE Style]
K. Won-Pil and K. Pan-Koo, "Design and Implementation of Domain Ontology to Overcome Conceptual Heterogeneity in Annotation-based Image Retrieval," Journal of Internet Computing and Services, vol. 4, no. 4, pp. 1-8, 2003.

[ACM Style]
Kim Won-Pil and Kim Pan-Koo. 2003. Design and Implementation of Domain Ontology to Overcome Conceptual Heterogeneity in Annotation-based Image Retrieval. Journal of Internet Computing and Services, 4, 4, (2003), 1-8.