基于SWRL的应急案例库的知识表示及推理方法研究

针对当下在公共社会领域中突发应急事件的信息量庞大,难以为应急决策系统提供快速支持的热点问题,深入研究了基于SWRL的应急案例库的知识表示以及推理方法。首先定义了应急案例库中的相关概念,并采用语义上具有较强能力的OWL(Web Ontology Language)作为应急案例库Ontology构建的基础。然后引入SWRL(Semantic WebRule Language)来进一步构建应急案例库的规则机制并改善OWL在推理能力方面的不足。最后运用SWRL推理规则与Jena推理机对应急案例库中的规则进行了进一步的整合与推理现实。仿真结果验证了SWRL推理规则的有效性与正确性。

The research on Knowledge Representation and Reasoning of the Emergency Cases Repository Based on SWRL

The quantities of emergency information make it hard to provide quick support for decision-making system. Nowadays it has become a heat issue in public security field. The knowledge representation and reasoning of emergency cases repository based on SWRL is lucubrated. Firstly,the concepts in emergency cases repository were defined and the OWL(Web Ontology Language) was used as the basis of establishment of emergency cases repository in semantically representation. And then,SWRL(Semantic WebRule Language) was introduced to further established rules mechanics. At the same time, the disadvantage of reasoning capacity of OWL was greatly improved. Finally, further integration and reasoning were realized by SWRL reasoning rules and Jena inference engine. The validity of SWRL reasoning rules is verified in the experiment results.