Abstract
Ripple-Down Rules (RDR) is an approach to building knowledge-based systems (KBS) incrementally, while the KBS is in routine use. Domain experts build rules as a minor extension to their normal duties, and are able to keep refining rules as KBS requirements evolve. Commercial RDR systems are now used routinely in some Chemical Pathology laboratories to provide interpretative comments to assist clinicians make the best use of laboratory reports. This paper presents usage data from one laboratory where, over a 29 month period, over 16,000 rules were added and 6,000,000 cases interpreted. The clearest evidence that this facility is highly valuable to the laboratory is the on-going addition of new knowledge bases and refinement of existing knowledge bases by the chemical pathologists.
This paper describes results generated by Labwizard, a software system produced by Pacific Knowledge Systems (PKS). The first author has a small shareholding in PKS, while the other authors are employees and hold shares and/or options in PKS; thus all may benefit from any increased reputation of Labwizard.
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References
Buchanan, B. Expert systems: working systems and the research literature. Expert Systems 1986; 3: 32–51
Compton, P., Horn, R., Quinlan, R., and Lazarus, L., Maintaining an expert system. In: Quinlan, J.R. (ed) Applications of Expert Systems, Addison-Wesley, 1989, pp 366–385
Edwards, G., Compton, P., Malor, R., Srinivasan, A., and Lazarus, L. PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 1993; 25: 27–34
Compton, P. and Jansen, R. A philosophical basis for knowledge acquisition. Knowledge Acquisition 1990; 2: 241–257
Richards, D. and Compton, P. Taking up the situated cognition challenge with ripple down rules. International Journal of Human Computer Studies 1998; 49: 895–926
Beydoun, G. and Hoffmann, A. Theoretical basis for hierarchical incremental knowledge acquisition. International Journal of Human Computer Studies 2001; 54(3): 407–452
Cao, T.M. and Compton, P. A simulation framework for knowledge acquisition evaluation. In: V. Estivill-Castro (ed) Twenty-Eighth Australasian Computer Science Conference (ACSC2005), Newcastle, 2005, pp 353–360
Yoshida, T., Motoda, H., and Washio, T. Adaptive ripple down rules method based on minimum description length principle. In: Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), IEEE Computer Society, 2002, pp 530–537
Kang, B., Compton, P., and Preston, P. Multiple classification ripple down rules. In: Mizoguchi, R. (ed) Proceedings of the Third Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW’94), Japanese Society for Artificial Intelligence, 1994, pp 197–212
Compton, P., Edwards, G., Lazarus, L., Peters, L., and Harries, M., Knowledge based system, U.S Patent 6,553,361, 2003.
Compton, P., Preston, P., Kang, B., and Yip, T. Local patching produces compact knowledge bases. In: Steels, L. Schreiber, G. and Van de Velde (eds) W. A Future for Knowledge Acquisition: Proceedings of EKAW’94, Springer Verlag, 1994, pp 104–117
Suryanto, H., Richards, D., and Compton, P. The automatic compression of multiple classification ripple down rule knowledge base systems: preliminary experiments. In: Jain, L. (ed) Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. (IEEE Cat. No. 99TH8410), 1999, pp 203–206
Suryanto, H. and Compton, P. Discovery of ontologies from knowledge bases. In: Gil, Y. Musen, M. and Shavlik, J. (eds) Proceedings of the First International Conference on Knowledge Capture, ACM, New York, 2001, pp 171–178
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Compton, P., Peters, L., Edwards, G., Lavers, T.G. (2006). Experience with Ripple-Down Rules. In: Macintosh, A., Ellis, R., Allen, T. (eds) Applications and Innovations in Intelligent Systems XIII. SGAI 2005. Springer, London. https://doi.org/10.1007/1-84628-224-1_9
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DOI: https://doi.org/10.1007/1-84628-224-1_9
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