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Browsing‐based conceptual information retrieval incorporating dictionary term relations, keyword association, and a user's interest

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  • Makoto Nakashima
  • Keizo Sato
  • Yanhua Qu
  • Tetsuro Ito

Abstract

A model of browsing‐based conceptual information retrieval is proposed employing two different types of dictionaries, a global dictionary and a local dictionary. A global dictionary with the authorized terms is utilized to capture the commonly acknowledgeable conceptual relation between a query and a document by replacing their keywords with the dictionary terms. The documents are ranked by the conceptual closeness to a query, and are arranged in the form of a user's personal digital library, or pDL. In a pDL a user can browse the arranged documents based on a suggestion about which documents are worth examining. This suggestion is made by the information in a local dictionary that is organized so as to reflect a user's interest and the association of keywords with the documents. Experiments for testing the retrieval performance of utilizing the two types of dictionaries were also performed using standard test collections.

Suggested Citation

  • Makoto Nakashima & Keizo Sato & Yanhua Qu & Tetsuro Ito, 2003. "Browsing‐based conceptual information retrieval incorporating dictionary term relations, keyword association, and a user's interest," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(1), pages 16-28, January.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:1:p:16-28
    DOI: 10.1002/asi.10173
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