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A Knowledge-Based Approach to the Design of Document-Based Retrieval Systems

Chen, Hsinchun and Dhar, Vasant (1990) A Knowledge-Based Approach to the Design of Document-Based Retrieval Systems. In Proceedings Conference on Office Information Systems, pages pp. 281-290, Boston, MA.

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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 revcaled 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 calculate 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.

EPrint Type:Conference Paper
Keywords:National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Information Retrieval
Subjects:Information Seeking Behaviors
Information Extraction
ID Code:479
Deposited On:20 September 2004
Alternative Locations:http://ai.bpa.arizona.edu/go/papers.html
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