《计算机应用研究》|Application Research of Computers

基于贝叶斯网络的民航突发事件因果关系分析方法研究

Research on causal reasoning method of domain ontology based on Bayesian network

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作者 王红,郭笑丹,祝寒
机构 中国民航大学 计算机科学与技术学院,天津 300300
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文章编号 1001-3695(2019)03-014-0711-05
DOI 10.19734/j.issn.1001-3695.2017.09.0926
摘要 针对民航突发事件因果关系无法有效评估与关联分析的问题,提出了一种基于贝叶斯网络的民航突发事件因果关系分析方法。在民航突发事件应急管理领域本体的基础上引入贝叶斯理论,通过规则设计实现了领域本体中概念、关系与实例的贝叶斯网络转换;然后采用贝叶斯网络知识合成算法E-IPFP构建贝叶斯网络节点的条件概率表,并通过消息传递机制计算父子节点间的概率关系,获得民航突发事件因果关系的概率分布。采用民航突发事件应急管理领域本体和世界民航事故调查跟踪报告中的案例作为实验数据,给出了民航突发事件因果间关系的分析,为基于大数据的突发事件关联分析与推理提供了方法支持。
关键词 民航突发事件;领域本体;贝叶斯网络;因果关系;条件概率
基金项目 国家自然科学基金资助项目(U1633110)
本文URL http://www.arocmag.com/article/01-2019-03-014.html
英文标题 Research on causal reasoning method of domain ontology based on Bayesian network
作者英文名 Wang Hong, Guo Xiaodan, Zhu Han
机构英文名 SchoolofComputerScience&Technology,CivilAviationUniversityofChina,Tianjin300300,China
英文摘要 According to the fact that civil aviation emergency cannot effectively evaluate causality and correlation analysis, this paper proposed a causal analysis method for civil aviation emergencies based on Bayesian network. The method introduced Bayesian theory on the basis of the domain ontology of civil aviation emergency management. Firstly, the Bayesian network rea-lized the transformation of concepts, relations and instances in domain ontology with rules design. Then it constructed the conditional probability table for Bayesian network nodes using Bayesian network knowledge synthesis algorithm E-IPFP, and calculated the probability relationship between parent nodes and child nodes through the message passing mechanism, to obtain the probability distribution of civil aviation incidents causation. This paper adopted the civil aviation emergency management domain ontology and the world civil aviation accident investigation tracking report as experimental data, gave the analysis of the causal relationship between civil aviation emergencies, which provided the method to support the correlation analysis and reasoning of unexpected events based on large data.
英文关键词 civil aviation emergencies; domain ontology; Bayesian networks(BN); causality; conditional probability
参考文献 查看稿件参考文献
  [1] CCAR396-R3, 民用航空安全信息管理规定[S] . 2016. (CCAR396-R3, Provisions for the administration of civil aviation safety information[S] . 2016. )
[2] 干红华. 基于事件的因果关系可计算化分析研究[D] . 杭州:浙江大学, 2003. (Gan Honghua. The study of cause-and-effect relationship based on events[D] . Hangzhou:Zhejiang University, 2003. )
[3] 钟军, 禹龙, 田生伟, 等. 基于双层模型的维吾尔语突发事件因果关系抽取[J] . 自动化学报, 2014, 40(4):771-779. (Zhong Jun, Yu Long, Tian Shengwei, et al. Causal relation extraction of Uyghur emergency events based on cascaded model[J] . Acta Automatica Sinica, 2014, 40(4):771-779. )
[4] 周文涛, 王红, 王静, 等. 民航应急决策方案语义模型构建方法的研究[J] . 计算机应用研究, 2013, 30(1):195-198, 210. (Zhou Wentao, Wang Hong, Wang Jing, et al. Research on constructing semantic model of emergency decision-making plan for civil aviation[J] . Application Research of Computers, 2013, 30(1):195-198, 210. )
[5] 李林, 王红, 付宇, 等. 民航突发事件应急案例语义检索方法研究[J] . 计算机工程与设计, 2011, 32(3):1130-1133. (Li Lin, Wang Hong, Fu Yu, et al. Research on semantic retrieval for civil aviation emergency cases[J] . Computer Engineering and Design, 2011, 32(3):1130-1133. )
[6] 王红, 杨璇, 王静, 等. 基于本体的民航应急决策知识表达与推理方法研究[J] . 计算机工程与科学, 2011, 33(4):129-133. (Wang Hong, Yang Xuan, Wang Jing, et al. Research on ontology-based knowledge presentation and reasoning in civil aviation emergency decision[J] . Computer Engineering & Science, 2011, 33(4):129-133. )
[7] 吴贤国, 丁保军, 张立茂, 等. 基于贝叶斯网络的地铁施工风险管理研究[J] . 中国安全科学学报, 2014, 24(1):84-89. (Wu Xian〓〓〓〓guo, Ding Baojun, Zhang Limao, et al. Research on risk manage-ment of subway construction based on Bayesian network[J] . China Safety Science Journal, 2014, 24(1):84-89. )
[8] 谢红薇, 闫婷, 车晋强. 本体驱动的贝叶斯网络模型在医学诊断中的应用[J] . 太原理工大学学报, 2016, 47(3):389-393. (Xie Hongwei, Yan Ting, Che Jinqiang. Using ontology-driven Bayesian network model in medical diagnosis[J] . Journal of Taiyuan University of Technology, 2016, 47(3):389-393. )
[9] Elster C, Wübbeler G. Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with in homogeneous within-class variances[J] . Computational Statistics, 2017, 32(1):51-69.
[10] Wood F D, Willem V D M J, Mansinghka V. A new approach to probabilistic programming inference[EB/OL] . (2015-07-03). [2015-07-09] . http://cn. arxiv. org/abs/1507. 00996.
[11] 蔡炳万, 石宇强, 李明辉, 等. 基于本体的贝叶斯网络知识推理研究[J] . 机械设计与制造, 2016(1):84-87. (Cai Bingwan, Shi Yuqiang, Li Minghui, et al. Research of Bayesian network reasoning based on ontology[J] . Machinery Design & Manufacture, 2016(1):84-87. )
[12] 张什永. 贝叶斯网不确定性推理研究[D] . 合肥:中国科学技术大学, 2010. (Zhang Shiyong. Research on the uncertainty inference of Bayesian network[D] . Hefei:University of Science and Technology of China, 2010. )
[13] Liu Yu, Chen Shihong, Li Shuoming, et al. Bayes-SWRL:a probabilistic extension of SWRL[C] //Proc of the 9th International Confe-rence on Computational Intelligence and Security. Washington DC:IEEE Computer Society, 2013:702-706.
[14] http://safety. caac. gov. cn/index/initpage. act[EB/OL] . (2017).
[15] 赵建喆, 李凯. 一种改进的多模块贝叶斯网络局部推理算法[J] . 东北大学学报:自然科学版, 2015, 36(9):1251-1255. (Zhao Jianzhe, Li Kai. An improved local inference algorithm for multiply sectioned Bayesian networks[J] . Journal of Northeastern University:Natural Science, 2015, 36(9):1251-1255. )
收稿日期 2017/9/25
修回日期 2017/11/7
页码 711-715
中图分类号 TP399
文献标志码 A