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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
711-715

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

Wang Hong
Guo Xiaodan
Zhu Han
School of Computer Science & Technology, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0926

Abstract

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.

Foundation Support

国家自然科学基金资助项目(U1633110)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0926
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 711-715
Serial Number: 1001-3695(2019)03-014-0711-05

Publish History

[2019-03-05] Printed Article

Cite This Article

王红, 郭笑丹, 祝寒. 基于贝叶斯网络的民航突发事件因果关系分析方法研究 [J]. 计算机应用研究, 2019, 36 (3): 711-715. (Wang Hong, Guo Xiaodan, Zhu Han. Research on causal reasoning method of domain ontology based on Bayesian network [J]. Application Research of Computers, 2019, 36 (3): 711-715. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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