A big data framework for E-Government in Industry 4.0

Author:

Long Cu Kim1,Agrawal Rashmi2,Trung Ha Quoc3,Pham Hai Van1

Affiliation:

1. School of Information and Communication Technology, Hanoi University of Science and Technology , Hanoi , Vietnam

2. Manav Rachna International Institute of Research and Studies , Faridabad , India

3. Information Communication Center - MOST , Hanoi , Vietnam

Abstract

Abstract The next generation of E-Government and healthcare has the potential to increase the more intelligent governance with improvements in transparency, accountability, efficiency, and effectiveness. It enables organizations to use the benefits of information via big data analysis to settle the difficulties effectively. Big Data has emerged which plays a significant role in many sectors around the world. Global trends in taking advantage of the benefits from big data are considered with an overview of the US, European Union, and several developing countries. To deeply understand the utilization of big data in several domains, this study has presented a brief survey of key concepts (such as IoT-enabled data, blockchain-enabled data, and intelligent systems data) to deeply understand the utilization of big data in several domains. Our analysis sets out also the similarities and differences in these concepts. We have also surveyed state-of-the-art technologies including cloud computing, multi-cloud, webservice, and microservice which are used to exploit potential benefits of big data analytics. Furthermore, some typical big data frameworks are surveyed and a big data framework for E-Government is also proposed. Open research questions and challenges are highlighted (for researchers and developers) following our review. Our goal in presenting the novel concepts presented in this article is to promote creative ideas in the research endeavor to perform efficaciously next-generation E-Government in the context of Industry 4.0.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

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