A knowledge-based approach to the design of document-based retrieval systems

  • Authors:
  • H. Chen;V. Dhar

  • Affiliations:
  • MIS Department, University of Arizona;IS Department, New York University

  • Venue:
  • COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
  • Year:
  • 1990

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Abstract

This article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revealed a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to evaluate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.