{"title":"基于大数据的电信运营商数据资产整理与利用","authors":"Yongsheng Chi, Xinzhou Cheng, Chuntao Song, Rui Xia, Lexi Xu, Zhi Li","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00130","DOIUrl":null,"url":null,"abstract":"This paper focuses on the typical mobile data assets of telecom operators and explores their internal relations. Furthermore, we propose a novel solution model of data fusion for telecom operator's diverse data and a deeper discussion on the scene-driven applications. For the scenario-driven demand, we construct varied data views for scenario-based applications, make an introduction for constructing knowledge graph as well. Eventually, we propose some typical application patterns for the data assets.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Sorting and Utilizing of Telecom Operators Data Assets Based on Big Data\",\"authors\":\"Yongsheng Chi, Xinzhou Cheng, Chuntao Song, Rui Xia, Lexi Xu, Zhi Li\",\"doi\":\"10.1109/IUCC/DSCI/SmartCNS.2019.00130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the typical mobile data assets of telecom operators and explores their internal relations. Furthermore, we propose a novel solution model of data fusion for telecom operator's diverse data and a deeper discussion on the scene-driven applications. For the scenario-driven demand, we construct varied data views for scenario-based applications, make an introduction for constructing knowledge graph as well. Eventually, we propose some typical application patterns for the data assets.\",\"PeriodicalId\":410905,\"journal\":{\"name\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sorting and Utilizing of Telecom Operators Data Assets Based on Big Data
This paper focuses on the typical mobile data assets of telecom operators and explores their internal relations. Furthermore, we propose a novel solution model of data fusion for telecom operator's diverse data and a deeper discussion on the scene-driven applications. For the scenario-driven demand, we construct varied data views for scenario-based applications, make an introduction for constructing knowledge graph as well. Eventually, we propose some typical application patterns for the data assets.