Record |
Author |
Jiayao Li; Juanqiong Gou; Wenxin Mu; Liyu Peng |
Title |
Modeling of Railway Risk Inter-Relation based on the study of Accident Context |
Type |
Conference Article |
Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
Volume |
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Issue |
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Pages |
328-340 |
Keywords |
Railway risk source; accident context; ontology modeling; risk inter-relation |
Abstract |
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. |
Address |
School of Economics and Management Beijing Jiaotong University |
Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Planning, Foresight and Risk analysis |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
2022 |
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