Abstract. Although Case-Based Reasoning (CBR) claims to reduce the effort required for developing knowledge-based systems substantially compared with more traditional Artificial Intelligence approaches, the implementation of a CBR application from scratch is still a time consuming task. In this paper we present a novel, freely available tool for rapid prototyping of CBR applications that focuses on the similarity-based retrieval step, like for example case-based product recommender systems. By providing easy to use model generation, data import, similarity modeling, explanation, and testing functionality together with comfortable graphical user interfaces, the tool enables even CBR novices to rapidly create their first CBR applications. Nevertheless, at the same time it ensures enough flexibility to enable expert users to implement advanced CBR applications.

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Abstract. Research on explanation in Case-Based Reasoning (CBR) is a topic that gains momentum. In this context, fundamental issues on what are and to which end do we use explanations have to be reconsidered. This article presents a prelimenary outline of the combination of two recently proposed classifications of explanations based on the type of the explanation itself and user goals which should be fulfilled. Further on, the contribution of the different knowledge containers for modeling the necessary knowledge is examined.