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Flexible Category Structure for Supporting WWW Retrieval

  • Yoshiaki Takata
  • Kokoro Nakagawa
  • Hiroyuki Seki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1921)

Abstract

A method for supporting WWW retrieval by constructing a flexible category structure adaptable to the user's search intention is proposed. The method uses categorization viewpoints as a priori knowledge, where a categorization viewpoint is a finite set of consistent category names. A set of documents retrieved by initial keywords is decomposed by categorization viewpoints and each decomposition is scored by clearness or entropy. The user selects an appropriate decomposition by considering the score. The decomposition is recursively performed until a category structure of reasonable size is obtained. Experimental results show that the sets of documents decomposed by the proposed method have higher precision than those decomposed by clustering (K-means). It is also shown that both the scores based on clearness and entropy of the decomposition have relatively high correlation with the precision.

Keywords

Noun Phrase Category Structure Concept Hierarchy Query Processor Consistent Category 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Yoshiaki Takata
    • 1
  • Kokoro Nakagawa
    • 1
  • Hiroyuki Seki
    • 1
  1. 1.Graduate School of Information ScienceNara Institute of Science and TechnologyJapan

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