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Ontology based query expansion framework for use in medical information systems

D. Wollersheim (Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia)
J. W. Rahayu (Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 1 May 2005

422

Abstract

This paper presents a framework which combines data and text retrieval techniques to exercise and evaluate ontology based query expansions. We prepare by using linguistic techniques to identify query and document concepts, locating them in a ontologically defined semantic space. Expansions originate from the identified query concepts, with success determined by matching in the relevant document set. We identify three orthogonal dimensions that can affect query expansion success; relationship source, success measure technique, and query expansion technique. Expansion technique is further divided into six different categories: simple pruning, complex probability, voting, directional, semantic propagation, and multiple source concept. We describe each technique and show examples where they would be useful. The system architecture used facilitates plugging in of various expansion and evaluation routines, and flowing results from one method to the next. The system is useful for microanalysis of query expansion, discovering which components of ontological derived knowledge most influence query expansion success. In this work, we apply our framework to the medical domain.

Keywords

Citation

Wollersheim, D. and Rahayu, J.W. (2005), "Ontology based query expansion framework for use in medical information systems", International Journal of Web Information Systems, Vol. 1 No. 2, pp. 101-115. https://doi.org/10.1108/17440080580000087

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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