Information Access Based on Associative Calculation

  • Akihiko Takano
  • Yoshiki Niwa
  • Shingo Nishioka
  • Makoto Iwayama
  • Toru Hisamitsu
  • Osamu Imaichi
  • Hirofumi Sakurai
Conference paper

DOI: 10.1007/3-540-44411-4_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1963)
Cite this paper as:
Takano A. et al. (2000) Information Access Based on Associative Calculation. In: Hlaváč V., Jeffery K.G., Wiedermann J. (eds) SOFSEM 2000: Theory and Practice of Informatics. SOFSEM 2000. Lecture Notes in Computer Science, vol 1963. Springer, Berlin, Heidelberg

Abstract

The statistical measures for similarity have been widely used in textual information retrieval for many decades. They are the basis to improve the effectiveness ofIR systems, including retrieval, clustering, and summarization. We have developed an information retrieval system DualNAVI which provides users with rich interaction both in document space and in word space. We show that associative calculation for measuring similarity among documents or words is the computational basis oft his effective information access with DualNAVI. The new approaches in document clustering (Hierarchical Bayesian Clustering), and measuring term representativeness (Baseline method) are also discussed. Both have sound mathematical basis and depend essentially on associative calculation.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Akihiko Takano
    • 1
  • Yoshiki Niwa
    • 1
  • Shingo Nishioka
    • 1
  • Makoto Iwayama
    • 1
  • Toru Hisamitsu
    • 1
  • Osamu Imaichi
    • 1
  • Hirofumi Sakurai
    • 1
  1. 1.Central Research LaboratoryHitachi, Ltd.Hatoyama, SaitamaJapan

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