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

  • Authors:

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

  • Affiliations:

  • Department of Computer Science and Intelligent Systems, Oita University, 700 Dannoharu, Oita-shi, Oita 870-1192, Japan;Department of Computer Science and Intelligent Systems, Oita University, 700 Dannoharu, Oita-shi, Oita 870-1192, Japan;Department of Computer Science and Intelligent Systems, Oita University, 700 Dannoharu, Oita-shi, Oita 870-1192, Japan;Department of Computer Science and Intelligent Systems, Oita University, 700 Dannoharu, Oita-shi, Oita 870-1192, Japan

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2003

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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.