A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH

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.

Citation

WHAN KIM, Y. and KIM, J.H. (1990), "A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH", Journal of Documentation, Vol. 46 No. 2, pp. 113-136. https://doi.org/10.1108/eb026857