知识管理自学习案例平行结构体方面相似度模型

Model of Parallel Structure Aspect Similarity of Knowledge Management Self-learning Cases

为建立知识管理系统的自学习与自组织机制,本文将基于案例推理的技术思想引入知识管理自学习子系统,对知识管理自学习案例的平行结构体方面相似度进行系统而深入地研究。首先,论文对相关文献进行述评,阐明了本文研究的出发点,诠释了知识管理自学习案例平行结构体方面的内涵及其特征;继而,分七种情况深入讨论了平行结构体方面维度相似度的计算方法,并在此基础上提出了方面相似度的计算策略;最后,通过算例分析了相关技术策略与实施细节。

In this paper,in order to establish knowledge management system（KMS） self-learning and self-organizing mechanism,the technical ideas of case based reasoning（CBR） are referenced to study KMS self-learning system.It is analyzed systematically and deeply how to calculate the similarity of parallel structure aspect of self-learning case of knowledge management system.Firstly,the related literature commentary is done,the starting point of this study is explained,and the connotation and characteristics of the parallel structure aspect of KMS self-learning case is interpreted.Simultaneously,it is discussed deeply to calculate the dimensional similarity of the parallel structure aspect of KMS self-learning case,in sub-seven cases.And then,the calculating algorithm of the aspect similarity is put forward.Finally,the technology strategy and implementation details are demonstrated and analyzed by an example.