Aul, Vani, Sauer, Christian and Roth-Berghofer, Thomas (2013) Knowledge Maintenance in myCBR. In: Proceedings of the 18th UKCBR 2013 Workshop, 10 Dec 2012, Cambridge, UK.
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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model can become outdated, thus creating a need for constant maintenance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, especi�cally 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 de�fined thresholds, indicating a declining
e�fficiency/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:||Conference or Workshop Item (Paper)|
|Depositing User:||Christian Sauer|
|Date Deposited:||26 May 2016 13:22|
|Last Modified:||04 Aug 2016 10:05|
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