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ARGUMENTATION‐BASED INDEXING FOR INFORMATION RETRIEVAL FROM LEARNED ARTICLES

J.A.A. SILLINCE (Sheffield University Management School, Crookesmoor Building Conduit Road, Sheffield S10 1FL)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 1 April 1992

Abstract

Current indexing methods used in automated bibliographic and full text information retrieval assume that knowledge can be adequately represented as a semantic network which is manipulable by means of Boolean operators. However, this semantic approach requires the user to state formally what it is that he wants to find. This paper presents an alternative argumentation‐based method. It involves representing a learned article by means of rhetorical structure rather than by a semantic representation of content.

Citation

SILLINCE, J.A.A. (1992), "ARGUMENTATION‐BASED INDEXING FOR INFORMATION RETRIEVAL FROM LEARNED ARTICLES", Journal of Documentation, Vol. 48 No. 4, pp. 387-405. https://doi.org/10.1108/eb026905

Publisher

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MCB UP Ltd

Copyright © 1992, MCB UP Limited