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http://dx.doi.org/10.9717/kmms.2013.16.11.1305

Tag Ranking System based on Semantic Similarity of Tag-pair  

Lee, Si-Hwa (메디오피아테크(주))
Hwang, Dae-Hoon (가천대학교 IT대학)
Publication Information
Journal of Korea Multimedia Society / v.16, no.11, 2013 , pp. 1305-1314 More about this Journal
Abstract
The existing tag based system deducts a retrieval result with low accuracy through the usage of a single tag matching by using tags tagged in contents. And the system doesn't provide effectively contents related information which the tags have, as the users place tags on contents without considering the priority and associative relation between tags. For a solve of above problems, this paper suggests a tag ranking system which extracts semantic similarity between tags and re-ranks the tags tagged in contents. In order to evaluate the performance of suggested system, this paper experiments and compares the ranking result of this paper's tag ranking system with the result of baseline method using tags tagged in images and frequency method adapting tag co-appearance frequency.
Keywords
Tag; Tag Similarity; WordNet; Tag Ranking;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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