Oehlmann R
University of Essex, Data Archive, Colchester, UK. oehlmann@essex..ac.uk
Artif Intell Med. 1998 Jan;12(1):61-76. doi: 10.1016/s0933-3657(97)00040-7.
Research in case-based reasoning has explored the ideas of retrieving and adapting previous experience in the form of cases. The retrieval process uses an index vocabulary which attempts to capture content and context of previous cases. Current approaches to empirical evaluation of case-based reasoning systems often do not consider the crucial role which a content-oriented index vocabulary plays in the various stages of the case-based reasoning process. We will address this issue by describing an evaluation of our case-based discovery system IULIAN. Based on this description, we will propose a general schema for content-oriented evaluation of case-based reasoning systems.
基于案例的推理研究探讨了以案例形式检索和改编以往经验的思路。检索过程使用一种索引词汇表，该词汇表试图捕捉以往案例的内容和背景。目前对基于案例的推理系统进行实证评估的方法往往没有考虑到面向内容的索引词汇表在基于案例的推理过程的各个阶段所起的关键作用。我们将通过描述对我们的基于案例的发现系统IULIAN的评估来解决这个问题。基于这一描述，我们将提出一个用于对基于案例的推理系统进行面向内容评估的通用架构。
