CBR systems are increasingly applied in practice. There, the system's ability to provide users with the information they need depends on the quality of the system's knowledge base and its long-term assurance and continuous improvement. Currently, in CBR research quality is rather an abstract term and maintenance takes a center stage. But in practice, there is a need for a broader and more detailed focus on quality aspects. Hence, the paper extends the maintenance view to a quality-oriented view. A framework is presented containing relevant aspects of a CBR system's quality management (CBRQM). It will be shown that maintenance approaches are not independent from a CBRQM. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Bierer, A., & Hofmann, M. (2009). Dimensions of case-based reasoner quality management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5650 LNAI, pp. 90–104). https://doi.org/10.1007/978-3-642-02998-1_8
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