Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
Context Aware Query Refinement System using Conceptual Fuzzy Sets and Generation Method Employing Fuzzy Clustering
Takuya NOMURAKosuke YAMAUCHITomohiro TAKAGI
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2009 Volume 21 Issue 2 Pages 175-183

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Abstract
As for the study about the query refinement, many studies have been performed till now. In this paper, we propose a context aware query refinement system using conceptual fuzzy sets and a conceptual fuzzy sets generation method employing fuzzy clustering. In an experiment we compared the proposed query refinement system with pseudo relevance feedback, which is commonly used in information retrieval. The proposed system achieved higher precision than pseudo relevance feedback in text based image retrieval. In addition, this experiment shows possibilities to achieve better precision by combining conceptual fuzzy sets and pseudo relevance feedback.
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© 2009 Japan Society for Fuzzy Theory and Intelligent Informatics
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