{"title":"Construction of Causality Event Evolutionary Graph of Aviation Accident","authors":"Hong Wang, H. Zhu, Yunqing Bai","doi":"10.1109/ICTIS.2019.8883740","DOIUrl":null,"url":null,"abstract":"Previous research on causality analysis of civil aviation accident was mainly based on probability and statistics, lacking of the analysis based on the whole process of accident occurrence. The process and method of constructing the causality event evolutionary graph of aviation accidents was proposed, which can be used to causality analysis. The authors apply the approach to the dataset consisting of the world aviation safety accident investigation report. On the basis of effectively extraction of causal event pairs, causality chains for each accident was generated. And then, mapping it with the domain ontology to construct causality event evolutionary graph, which provides the data and method to civil aviation accident’s comprehensive analysis and scene reappearance.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS.2019.8883740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Previous research on causality analysis of civil aviation accident was mainly based on probability and statistics, lacking of the analysis based on the whole process of accident occurrence. The process and method of constructing the causality event evolutionary graph of aviation accidents was proposed, which can be used to causality analysis. The authors apply the approach to the dataset consisting of the world aviation safety accident investigation report. On the basis of effectively extraction of causal event pairs, causality chains for each accident was generated. And then, mapping it with the domain ontology to construct causality event evolutionary graph, which provides the data and method to civil aviation accident’s comprehensive analysis and scene reappearance.