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Design and Implementation of Topic Map Generation System based Tag  

Lee, Si-Hwa (경원대학교 전자계산학과)
Lee, Man-Hyoung (현대전문학교)
Hwang, Dae-Hoon (경원대학교)
Publication Information
Journal of Korea Multimedia Society / v.13, no.5, 2010 , pp. 730-739 More about this Journal
Abstract
One of core technology in Web 2.0 is tagging, which is applied to multimedia data such as web document of blog, image and video etc widely. But unlike expectation that the tags will be reused in information retrieval and then maximize the retrieval efficiency, unacceptable retrieval results appear owing to toot limitation of tag. In this paper, in the base of preceding research about image retrieval through tag clustering, we design and implement a topic map generation system which is a semantic knowledge system. Finally, tag information in cluster were generated automatically with topics of topic map. The generated topics of topic map are endowed with mean relationship by use of WordNet. Also the topics are endowed with occurrence information suitable for topic pair, and then a topic map with semantic knowledge system can be generated. As the result, the topic map preposed in this paper can be used in not only user's information retrieval demand with semantic navigation but alse convenient and abundant information service.
Keywords
Web2.0; Tag; Clustering; Image Retrieval; Topic Map; WordNet;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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