{"title":"A Novel Method for Constructing Knowledge Graph of Railway Safety Risk","authors":"Y. Wang, Youwei Wang, Yangdong Ye","doi":"10.1145/3565387.3565441","DOIUrl":null,"url":null,"abstract":"Accurately and quickly constructing a high-quality knowledge graph of railway safety is an important challenge in the field of knowledge engineering. This paper adopts the \"four-step method\" to construct an accurate and efficient knowledge graph in the field of railway safety risk, including domain ontology construction, crowdsourcing semi-automatic semantic annotation, external data completion and knowledge acquisition. Then the sub-graph of public works safety risk is analyzed, and the application is discussed. Experiments show that the \"four-step method\" can quickly and accurately acquire knowledge in the field of railway safety, providing a powerful tool for integrating multi-source and heterogeneous railway safety risk knowledge, and making the use of railway safety risk-related information resources more convenient.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3565387.3565441","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
Accurately and quickly constructing a high-quality knowledge graph of railway safety is an important challenge in the field of knowledge engineering. This paper adopts the "four-step method" to construct an accurate and efficient knowledge graph in the field of railway safety risk, including domain ontology construction, crowdsourcing semi-automatic semantic annotation, external data completion and knowledge acquisition. Then the sub-graph of public works safety risk is analyzed, and the application is discussed. Experiments show that the "four-step method" can quickly and accurately acquire knowledge in the field of railway safety, providing a powerful tool for integrating multi-source and heterogeneous railway safety risk knowledge, and making the use of railway safety risk-related information resources more convenient.