基于本体的机场跑道侵入智能违规诊断研究*

为保证机场场面运行安全，从知识建模角度出发，提出智能信息处理方法诊断违规项目，使用SWRL、领域本体等技术构建跑道侵入违规诊断系统的本体模型。研究了将跑道侵入案例用语义规则形式化表示的方法，构建推理规则得出违规项目和硬件预防措施。结果表明，提出的方法较传统方法，结合本体和SWRL推理技术的方法准确率更高，性能更佳。

An ontology-based research on intelligent violation diagnosis of airport runway incursion*

In order to ensure the safe operation of the airport surface, this paper proposed an intelligent information processing method to diagnosis violation items, and built an ontology model of runway incursion violation diagnosis system, which used SWRL and domain ontology technology from the perspective of knowledge modeling. Also, this paper made a research on the method of describing runway incursion cases with formalized sematic rules, and constructed reasoning rules to capture violation items and obtain hardware preventive measures. The results show that the proposed methods which combine domain ontology with SWRL technology prove better analysis accuracy and reasoning performance than the traditional method.