Aul, Vani, Sauer, Christian and Roth-Berghofer, Thomas (2014) Knowledge maintenance in myCBR. Expert Update, 14 (1). ISSN 1465-4091

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Abstract

CBR systems, being knowledge based systems, process knowledge. Due to changes in the environment a CBR system’s knowledge model can become outdated, thus creating a need for constant maintenance of said knowledge model. In this paper, we describe an implementation of (semi-)automatic knowledge maintenance of two of the four knowledge containers of CBR systems, specifically case base maintenance and maintenance of similarity measures within the CBR system development SDK myCBR. We describe our approach to create, elicit and manage quality measures that are used to trigger maintenance actions if the quality measures fall below defined thresholds, indicating a declining efficiency/accuracy of a case base or particular similarity measure. We further detail on the implementation of our approach into myCBR Workbench to enable a knowledge engineer to incorporate the notion of maintenance already at the design stage of a CBR system. The approach relies on the notion of maintenance attributes to be able to measure the quality of case bases and similarity measures. Initial experiments using the newly introduced quality measurement attributes indicate that our approach is promising.

Item Type:	Article
Keywords:	Knowledge maintenance, Case base maintenance, Usage knowledge acquisition
Subjects:	Computing
Depositing User:	Vani Aul
Date Deposited:	10 Jan 2014 09:54
Last Modified:	04 Nov 2024 11:01
URI:	https://repository.uwl.ac.uk/id/eprint/606

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