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Modeling of Railway Risk Inter-Relation based on the study of Accident Context
Jiayao Li
Juanqiong Gou
Wenxin Mu
Liyu Peng
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
In order to detect and control the critical potential risk source of railway more scientifically, more reasonably and more accurately in complex accident context, a knowledge modeling method of risk inter-relation is proposed based on ontology modeling of accident context. First, the mechanism of accident causation is summarized based on the accident case analysis. Then, the knowledge model of accident cause is built based on ontology theory, including the ontology model of two context instances. Last but not least, the risk inter-relation rules with different dimensions of inter-relation patterns are inferred based on the instantiation of ontology model. The two context instances are used to illustrate the identification process of risk inter-relation. The results prove the rationality of the method, which can provide a reference for the precise railway risk prevention.
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Modeling%20of%20Railway%20Risk%20Inter-Relation%20based%20on%20the%20study%20of%20Accident%20Context&stitle=Iscram%202017&issn=2411-3387&date=2017&spage=328&epage=340&aulast=Jiayao%20Li&au=Juanqiong%20Gou&au=Wenxin%20Mu&au=Liyu%20Peng&pub=Iscram&place=Albi%2C%20France&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2022
citekey:JiayaoLi_etal2017
citation:Jiayao Li, Juanqiong Gou, Wenxin Mu, & Liyu Peng. (2017). Modeling of Railway Risk Inter-Relation based on the study of Accident Context. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 328-340). Albi, France: Iscram.
2017
ConferencePaper
text
Railway risk source
accident context
ontology modeling
risk inter-relation
file:http://idl.iscram.org/files/jiayaoli/2017/2022_JiayaoLi_etal2017.pdf
Iscram
English
2411-3387
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
2017
328
340
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