{"title":"基于图数据技术的电网知识图谱优化技术研究","authors":"Chengbo Hu, Ziquan Liu, Jinggang Yang","doi":"10.1109/ICDSBA51020.2020.00061","DOIUrl":null,"url":null,"abstract":"Power grid knowledge is an important component of power grid data. With the rapid development of power grid, the knowledge data of power grid is increasing greatly, and its data scale is becoming more and more huge. Through the research of graph data technology, the knowledge data of power grid is optimized. The optimized knowledge map can meet the needs of rapid, efficient, accurate and stable application of power grid knowledge data.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Optimization Technology of Power Grid Knowledge Map Based on Graph Data Technology\",\"authors\":\"Chengbo Hu, Ziquan Liu, Jinggang Yang\",\"doi\":\"10.1109/ICDSBA51020.2020.00061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power grid knowledge is an important component of power grid data. With the rapid development of power grid, the knowledge data of power grid is increasing greatly, and its data scale is becoming more and more huge. Through the research of graph data technology, the knowledge data of power grid is optimized. The optimized knowledge map can meet the needs of rapid, efficient, accurate and stable application of power grid knowledge data.\",\"PeriodicalId\":354742,\"journal\":{\"name\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA51020.2020.00061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Optimization Technology of Power Grid Knowledge Map Based on Graph Data Technology
Power grid knowledge is an important component of power grid data. With the rapid development of power grid, the knowledge data of power grid is increasing greatly, and its data scale is becoming more and more huge. Through the research of graph data technology, the knowledge data of power grid is optimized. The optimized knowledge map can meet the needs of rapid, efficient, accurate and stable application of power grid knowledge data.
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