基于模糊UML的C4 ISR系统上下文知识建模方法∗

摘要

Pervasive computing and Context⁃aware technique is the key issue of the service intelligence C4 ISR system. To modeling the uncertain and vague context knowledge of C4 ISR, the paper suggests a meta ontology that defines both concepts and relations of the C4 ISR Context⁃aware knowledge. And then a domain⁃specific modeling language for C4 ISR Context⁃aware knowledge modeling is defined by extending UML Class and Association with fuzzy constructs and the meta ontology in order to model the fuzzy concepts of the Context⁃aware knowledge.%普适计算和上下文感知技术是智能化C4 ISR系统的一种可行路线，针对上下文知识中大量模糊和不确定信息难以建模表示的问题，首先从C4 ISR系统的业务特点和上下文知识内涵出发，定义组成C4 ISR系统上下文环境的基本概念和关系，形成上下文知识元本体，在此基础上，借助UML扩展机制、模糊建模元素，形成一种C4 ISR系统上下文知识建模语言。通过该语言不仅可以准确表达上下文知识中的明确信息，而且对于由于传感器偏差或信息缺乏所带来的模糊或不确定上下文环境信息，该语言同样具有良好的表达能力。