A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH

doi:10.1108/eb026857

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Journal of Documentation

ISSN: 0022-0418

Online from: 1945

Subject Area: Library and Information Studies

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A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH

Document Information:
Title:	A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH
Author(s):	YOUNG WHAN KIM, (Department of Computer Science Korea Advanced Institute of Science & Technology PO Box 150, Cheongryang, Seoul 130–650, Korea), JIN H. KIM, (Department of Computer Science Korea Advanced Institute of Science & Technology PO Box 150, Cheongryang, Seoul 130–650, Korea)
Citation:	YOUNG WHAN KIM, JIN H. KIM, (1990) "A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH", Journal of Documentation, Vol. 46 Iss: 2, pp.113 - 136
Article type:	General review
DOI:	10.1108/eb026857 (Permanent URL)
Publisher:	MCB UP Ltd
Abstract:	This paper discusses a knowledge based information retrieval model with hierarchical thesaurus. The model computes the conceptual distance between a query and an object and both are indexed with weighted terms from a hierarchical thesaurus. The hierarchical thesaurus is represented by a hierarchical-concept graph (HCG) in which nodes represent concepts and directed edges represent generalisation relationships. Rada et al. have developed a similar model. However, their model considered only a binary indexing scheme and revealed some counter-intuitive results. Our proposed model extends theirs by allowing the index term and the edge of the HCG to be weighted. A new concept mapping method is devised to overcome Rada's counter-intuitive results. In addition, a scheme for allowing Boolean operators in user queries is provided with a formula for computing conceptual distance from negated index terms. Experimental results have shown that our model simulates human performance more closely than Rada's model.

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