To read the full version of this content please select one of the options below:

Expert system technology applied to item classification

S.J. Cosgrove (Information Technology Division, Electronics Research Laboratory, Salisbury, South Australia)
J.M. Weimann (DSTO Library, Surveillance Research Laboratory, Salisbury, South Australia.)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 1 January 1992

Abstract

This article describes how the n‐Cube expert system development tool can assist in item classification using the Universal Decimal Classification (UDC) standard. The n‐Cube makes use of a tree classification structure with associated rules and default inheritance features. Any information known about a particular classification is a combination of the defaults known about that class, as well as the defaults associated with any of its parent classes. As a result, many of the problems associated with simple rule‐based systems are overcome.

Citation

Cosgrove, S.J. and Weimann, J.M. (1992), "Expert system technology applied to item classification", Library Hi Tech, Vol. 10 No. 1/2, pp. 33-40. https://doi.org/10.1108/eb047841

Publisher

:

MCB UP Ltd

Copyright © 1992, MCB UP Limited