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A Knowledge-Based Approach to Conceptual Information Retrieval from Full Text
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Author(s): Inien Syu (University of Central Florida, USA)and Sheau-Dong Lang (University of Central Florida, USA)
Copyright: 1991
Volume: 2
Issue: 3
Pages: 7
Source title:
Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/jdm.1991070101
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Abstract
The conventional methods of full text processing, such as pattern matching and keyword indexing, may result in waste of rich information. Recently, the knowledge-based approach has been used in natural language text processing. Unlike past generations of information retrieval systems which dealt exclusively with abstracts, title headings, and keywords, today’s intelligent information retrieval systems manipulate full texts such as technical manuals, reports, letters, and news articles. This paper discusses the design and implementation of a knowledge-based information retrieval system, concentrating on the issues of knowledge acquisition, knowledge representation, knowledge base refinement, and the information retrieval mechanism
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