DocumentCode :
1865504
Title :
Ontology-Based Ship Fire Risk Assessment
Author :
Ning Liu ; Guanyu Li ; Chen Qu ; Shan Liu
Volume :
1
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
552
Lastpage :
555
Abstract :
Since the ship fire is a result of multiple risk factors combined effect, its assessment is a process of multiple risk factors quantification analysis. Majority of these risk factors, which are often intangible, dynamic, and artificial, are very difficult to be quantified. To solve this problem, a method named as ontology Based ship fire risk assessment is proposed. Firstly, the ship fire ontology is constructed in order to obtain the seed ontology. Secondly, the seed ontology is transformed into a two-dimensional evaluation form. Finally, Bayes network inference is applied into the assessment process. The experimental result reveals that the proposed method not only can solve the problem of multiple risk factors quantification, but also can facilitate inter-domain resource sharing between fire fighting area and shipping area, so that the ship fire risk assessment can be implemented efficiently and uniformly.
Keywords :
fires; ontologies (artificial intelligence); risk management; ships; fire fighting area; inter-domain resource sharing; multiple risk factors quantification analysis; ontology-based ship fire risk assessment; seed ontology; ship fire ontology; shipping area; two-dimensional ontology evaluation; Cognition; Fires; Marine vehicles; Ontologies; Probabilistic logic; Risk management; Uncertainty; fire safety; ontology; quantitative analysis; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.137
Filename :
6643949
Link To Document :
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