{"title":"Ontology-Based Ship Fire Risk Assessment","authors":"N. Liu, Guan-yu Li, Chen Qu, Shanshan Liu","doi":"10.1109/IHMSC.2013.137","DOIUrl":null,"url":null,"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.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.