International Conference on Advances in Information Technology and Management |
Foundation of Computer Science USA |
ICAIM2016 - Number 2 |
July 2016 |
Authors: Madhulika Bangre, Muzammil Jafferi, Spandan Jain, Afzal Khan |
2c6642d4-0a78-495d-968d-65cc2e4218ef |
Madhulika Bangre, Muzammil Jafferi, Spandan Jain, Afzal Khan . Location based Search for Big Data in Government Sectors. International Conference on Advances in Information Technology and Management. ICAIM2016, 2 (July 2016), 1-5.
World is heading rapidly towards a global computing revolution that will contain billions of wirelessly connected devices. Many of which will offer location based services to their mobile users anytime, anywhere. Sooner, users will take ubiquitous wireless access to information and services for granted. Growth in wireless subscribers will lead to a drastic increase in the amount of data associated, which in turn will give rise to Big Data. Big Data is supposed to be a $25 billion industry and India has the great opportunity to take a large share from it. The government has been a driving force in creating platforms and large datasets which will require the acquisition and manipulation of massive amounts of data. Wireless users access data from various locations across the world. There are multiple area where massive data is been generated which need to be accessed by user belonging to diverse geographic location. There comes the need of location based search for big data to track right information at right time. By means of this paper we are trying to present use cases related to location based services on massive data to provide efficient and real time services to the citizen accessing government services.