Fenggang Lai, Z. Zhao, Dequan Gao, Wang Luo, Chao Lou, Shengya Han, Chao Ma
{"title":"Using Semantic Dependencies to Realize the Construction of Cloud Data Center Operation and Maintenance Knowledge Graph","authors":"Fenggang Lai, Z. Zhao, Dequan Gao, Wang Luo, Chao Lou, Shengya Han, Chao Ma","doi":"10.1109/PHM2022-London52454.2022.00049","DOIUrl":null,"url":null,"abstract":"In view of the knowledge graph co-construction and sharing requirements for intelligent operation and maintenance of cloud data center complex network systems, this paper constructs an operation and maintenance knowledge graph framework model, proposes a practical method for fault knowledge entity identification and relationship extraction, and develops cloud data center intelligent operation and maintenance knowledge graph. Multi-source knowledge quality verification and automatic update tools, and based on the intelligent operation and maintenance knowledge map, build business scenario applications, and test the effectiveness of the tools.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"9 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Prognostics and Health Management Conference (PHM-2022 London)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM2022-London52454.2022.00049","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
In view of the knowledge graph co-construction and sharing requirements for intelligent operation and maintenance of cloud data center complex network systems, this paper constructs an operation and maintenance knowledge graph framework model, proposes a practical method for fault knowledge entity identification and relationship extraction, and develops cloud data center intelligent operation and maintenance knowledge graph. Multi-source knowledge quality verification and automatic update tools, and based on the intelligent operation and maintenance knowledge map, build business scenario applications, and test the effectiveness of the tools.