基于LISA理论的概念模型相似度计算

在信息系统概念建模过程中，常常需要合并或重用已有模型形成复杂的模型，以更加精确地刻画物理世界模型，而概念模型间的相似度计算是实现这一目标的重要基础。通过引入LISA认知模型的系统相似性计算方法，将概念模型间相似度计算转化为关系，绑定，实体类和角色间相似度的综合计算。实验结果表明，这种计算方法综合考虑了各种相关因素，所得出的结果具有较高的可信度。

Conceptual models similarity computation based on LISA theory

In the process of information system conceptual modeling, it is necessary to merge or reuse the existing concept models, to build a complex model to describe the physical world more accurately. Conceptual models similarity computation is an important base of merging, mapping and reusing conceptual models. This paper introduces a method of system similarity computation in the cognitive science, and transforms conceptual model similarity computation into a synthetic computation of the similarity of relationship, binding, entity classes and roles. Experimental results show that this computing method takes into account various relevant factors, the results are more reliable.