IGoSA - A novel framework for analysis of and facilitating government schemes

Sabyasachi Mohanty, Amit K. Mishra, Dhruba C. Panda

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Progress in the field of Information and Communication Technology (ICT) has benefited the e-Governance solutions with higher efficiency and better accountability. In this paper we have identified a domain of government which focuses on welfare schemes for the weaker sections of the society. For the better acceptability of the schemes, information sharing and analysis of the scheme related information is crucial. Bearing this in mind, we propose an e-Governance model, named as Intelligent Government Scheme Advisor (IGoSA), to facilitate as a decision support system with scheme based analysis for the citizens and government agencies. The main goal is to use the available information and experience present with government agencies and feedback from public to build more successful schemes by taking the help of machine learning techniques and emerging data management solutions.

Original languageEnglish
Title of host publication2015 IEEE 2nd International Conference on Recent Trends in Information Systems, ReTIS 2015 - Proceedings
EditorsDebasish Jana, Sudip Kumar Naskar, Sarbani Roy, Debotosh Bhattacharjee, Subhadip Basu, Nibaran Das
PublisherIEEE Press
Pages290-295
Number of pages6
ISBN (Electronic)9781479983490
DOIs
Publication statusPublished - 09 Jul 2015
Externally publishedYes
EventIEEE 2nd International Conference on Recent Trends in Information Systems, ReTIS 2015 - Kolkata, India
Duration: 09 Jul 201511 Jul 2015

Publication series

Name2015 IEEE 2nd International Conference on Recent Trends in Information Systems, ReTIS 2015 - Proceedings

Conference

ConferenceIEEE 2nd International Conference on Recent Trends in Information Systems, ReTIS 2015
Country/TerritoryIndia
CityKolkata
Period09 Jul 201511 Jul 2015

Keywords

  • Decision support systems
  • Electronic government
  • Guidelines
  • Information management
  • Semantics

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