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

Makoto Nakashima, Keizo Sato, Yanhua Qu and Tetsuro Ito

Journal of the American Society for Information Science and Technology, 2003, vol. 54, issue 1, 16-28

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.

Date: 2003
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https://doi.org/10.1002/asi.10173

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:54:y:2003:i:1:p:16-28

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https://doi.org/10.1002/(ISSN)1532-2890

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