基于本体和知识推理的突发事件虚拟案例研究

Research on generation of emergency virtual case based on ontology and knowledge reasoning

介绍了利用本体的知识,对突发事件案例本体模型构建其过程.同时,在突发事件案例本体库的基础上,用户自定义规则,利用Pellet专用推理机和Jena2通用推理机的混合式推理机制,进行知识推理,生成一系列的虚拟案例.这种混合式推理机制能够弥补传统推理机中采用单一的语义推理技术所引起的不足,比单一的推理机更有效地发掘出本体中包含的隐藏信息.

The establishing process of emergency case ontology model was described using ontology knowledge.Meanwhile,users could define rules based on emergency case ontology library,then could conduct knowledge reasoning and generate a series of virtual cases using a hybrid reasoning mechanism which consisted of Pellet inference engine and Jena2 inference machine.This hybrid reasoning mecha-nism could make up for the deficiency caused by the single semantic reasoning technique used in tradi-tional reasoner,and was more effective than the single reasoner in digging out the hidden information of the ontology.