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An Experimental Study on Semantic Searches for Image Data Using Structured Social Metadata

  • Journal of the Korean Society for Library and Information Science
  • 2010, 44(1), pp.117-135
  • DOI : 10.4275/KSLIS.2010.44.1.117
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : January 30, 2010
  • Accepted : February 11, 2010

Kim, Hyun Hee 1,  Yong-Ho Kim 2

1명지대학교
2부경대학교

Accredited

ABSTRACT

We designed a structured folksonomy system in which queries can be expanded through tag control; equivalent, synonym or related tags are bound together, in order to improve the retrieval efficiency (recall and precision) of image data. Then, we evaluated the proposed system by comparing it to a tag-based system without tag control in terms of recall, precision, and user satisfaction. Furthermore, we also investigated which query expansion method is the most efficient in terms of retrieval performance. The experimental results showed that the recall, precision, and user satisfaction rates of the proposed system are statistically higher than the rates of the tag-based system, respectively. On the other hand, there are significant differences among the precision rates of query expansion methods but there are no significant differences among their recall rates. The proposed system can be utilized as a guide on how to effectively index and retrieve the digital content of digital library systems in the Library 2.0 era.

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This paper was written with support from the National Research Foundation of Korea.
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