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Development of tag ranking-based image search system

Authors
Lee, S.-H.Cho, S.-H.Hwang, D.-H.
Issue Date
2014
Keywords
Tag; Tag ranking; Tag similarity; Wordnet
Citation
International Journal of Software Engineering and its Applications, v.8, no.2, pp.229 - 234
Journal Title
International Journal of Software Engineering and its Applications
Volume
8
Number
2
Start Page
229
End Page
234
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/13135
DOI
10.14257/ijseia.2014.8.2.22
ISSN
1738-9984
Abstract
The existing tag-based systems offer search results with low accuracy, as they provide search results through a single tag matching by using content-tagged tags. Because users do not consider correlations and priorities between tags upon content tagging, the content and relevant information that the tags have are not efficiently offered. In this context, this study suggests a cluster-based tag ranking and search system using tag similarity to solve the problems mentioned above. Through such a system, the existing single tag matching problem can be solved. © 2014 SERSC.
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