• DocumentCode
    735880
  • Title

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

  • Author

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

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Centurion Univ. of Technol. & Manage., Bhubaneswar, India
  • fYear
    2015
  • fDate
    9-11 July 2015
  • Firstpage
    290
  • Lastpage
    295
  • 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.
  • Keywords
    data handling; decision support systems; government data processing; information analysis; learning (artificial intelligence); ICT; IGoSA; data management solutions; decision support system; e-governance model; government agencies; information sharing; information-and-communication technology; intelligent government scheme advisor; machine learning techniques; scheme related information analysis; Decision support systems; Electronic government; Guidelines; Information management; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on
  • Conference_Location
    Kolkata
  • Type

    conf

  • DOI
    10.1109/ReTIS.2015.7232893
  • Filename
    7232893