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IJMLC 2020 Vol.10(1): 38-43 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2020.10.1.895

The Multi-Level Data Exchange with Representational State Transfer on Service-Oriented Architecture

Worrapong Nuam-In, Prachyanun Nilsook, and Panita Wannapiroon

Abstract—In order for government organizations to be geared towards digital government they need to have the basic systems in terms of hardware, software, systems and data in order to support integration. Therefore, the exchange of government data is considered to be the major factor in developing digital government. This article aims to design the service-oriented architecture (SOA) for data exchange within the Ministry of Education in Thailand which has a varied internal structure, by using REST as the “Architectural style” and JSON as the standard for exchanging data according to the information standard that is prescribed by the Ministry of Education.

Index Terms——Data exchange, representational state transfer, REST, service-oriented architecture, SOA.

Worrapong Nuam-In is with Division of Information and Communication Technology for Education, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand (e-mail: nuamin@gmail.com). Prachyanun Nilsook is with Vocational Education Technology Research Center, Science and Technology Research Institute, King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand (e-mail: prachyanun@kmutnb.ac.th).
Panita Wannapiroon is with Innovation and Technology Management Research Center, Science and Technology Research Institute, King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand (e-mail: panitaw@kmutnb.ac.th).

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Cite: Worrapong Nuam-In, Prachyanun Nilsook, and Panita Wannapiroon, "The Multi-Level Data Exchange with Representational State Transfer on Service-Oriented Architecture," International Journal of Machine Learning and Computing vol. 10, no. 1, pp. 38-43, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net


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