{"title":"国家电子政务规划大数据框架","authors":"M. R Rajagopalan, Solaimurugan Vellaipandiyan","doi":"10.1109/ICTKE.2013.6756283","DOIUrl":null,"url":null,"abstract":"The world is moving towards digitization. In India central and state governments are steadily moving towards digitizing all the government departments, scheme and services. Due to the awareness of people and availability of network access that emerges, use of E-governance application has increased. As a result data is getting added and size of these data is increasing exponentially day after day - Volume. Semi-structured and Un-structured data from E-governance service like computerization of land records, Patient health records are most often in the form of electronic records. Processing and sharing of these records are difficult by traditional approach - Variety. Defense, crime and police service control the ever-increasing threats of terror attacks and of continually ascending crime graphs. It includes aspects such as creation of- and sharing of- crime-relate real time data - Velocity. Gathering and processing of vast amounts of data is not new. What is new is the speed at which one can process that data and extracting actionable business intelligence or mission critical from messy data - Complexity. Open source big data technology - No-SQL databases, Hadoop and MapReduce are used to handle these large volumes and heterogeneous data. In this paper we present the model that illustrates how big data can result in the transformation of the government by increased efficiency and effectiveness in the e-governance service with citizen engagement in decision making.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Big data framework for national E-governance plan\",\"authors\":\"M. R Rajagopalan, Solaimurugan Vellaipandiyan\",\"doi\":\"10.1109/ICTKE.2013.6756283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is moving towards digitization. In India central and state governments are steadily moving towards digitizing all the government departments, scheme and services. Due to the awareness of people and availability of network access that emerges, use of E-governance application has increased. As a result data is getting added and size of these data is increasing exponentially day after day - Volume. Semi-structured and Un-structured data from E-governance service like computerization of land records, Patient health records are most often in the form of electronic records. Processing and sharing of these records are difficult by traditional approach - Variety. Defense, crime and police service control the ever-increasing threats of terror attacks and of continually ascending crime graphs. It includes aspects such as creation of- and sharing of- crime-relate real time data - Velocity. Gathering and processing of vast amounts of data is not new. What is new is the speed at which one can process that data and extracting actionable business intelligence or mission critical from messy data - Complexity. Open source big data technology - No-SQL databases, Hadoop and MapReduce are used to handle these large volumes and heterogeneous data. In this paper we present the model that illustrates how big data can result in the transformation of the government by increased efficiency and effectiveness in the e-governance service with citizen engagement in decision making.\",\"PeriodicalId\":122281,\"journal\":{\"name\":\"2013 Eleventh International Conference on ICT and Knowledge Engineering\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Eleventh International Conference on ICT and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE.2013.6756283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Eleventh International Conference on ICT and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2013.6756283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The world is moving towards digitization. In India central and state governments are steadily moving towards digitizing all the government departments, scheme and services. Due to the awareness of people and availability of network access that emerges, use of E-governance application has increased. As a result data is getting added and size of these data is increasing exponentially day after day - Volume. Semi-structured and Un-structured data from E-governance service like computerization of land records, Patient health records are most often in the form of electronic records. Processing and sharing of these records are difficult by traditional approach - Variety. Defense, crime and police service control the ever-increasing threats of terror attacks and of continually ascending crime graphs. It includes aspects such as creation of- and sharing of- crime-relate real time data - Velocity. Gathering and processing of vast amounts of data is not new. What is new is the speed at which one can process that data and extracting actionable business intelligence or mission critical from messy data - Complexity. Open source big data technology - No-SQL databases, Hadoop and MapReduce are used to handle these large volumes and heterogeneous data. In this paper we present the model that illustrates how big data can result in the transformation of the government by increased efficiency and effectiveness in the e-governance service with citizen engagement in decision making.