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IJMLC 2019 Vol.9(6): 886-892 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2019.9.6.888

Intelligent Information Management with Digitization Workflow

Surachet Channgam, Prachyanun Nilsook, and Panita Wannapiroon

Abstract—This research aims to study the intelligent information management with Digitization workflow, to synthesize the intelligent information management with Digitization workflow and evaluate the intelligent information management with Digitization workflow. By conducting research from related works and comparing and analyzing the intelligent information management model with Digitization workflow, the pattern model which has been synthesized was found by the researcher. The intelligent information management model with Digitization workflow is consists of 6 elements, 1) Create 2) Capture 3) Management 4) Deliver 5) Preserve and 6) Analytics. Each elements also divided into sub-module as follows; Create divided into 3 sub-modules which are creation and writing content sub-module, sync file and share sub-module, and social and collaboration sub-module; Capture divided into 2 sub-modules which are multi-channel capture sub-module and data recognition, standards and extract sub-module; Management divided into 4 sub-module which are metadata management sub-module, document version control sub-module, data-collection management and electronic portfolio sub-module, and digital asset management sub-module; Deliver divided into 4 sub-modules which are enterprise search sub-module, transformation technology sub-module, security technology sub-module, and content distribution sub-module; Preserve divided into 3 sub-modules which are records management and distribution sub-module, compliance-government and industry sub-module, and legal and electronic transaction sub-module; and finally Analytic divided into 3 sub-module which are semantics and text analytical sub-modules, system auditing and monitoring sub-module, and content and process analytics sub-module. To evaluation results of the design of intelligent information management with Digitization workflow, the result found that the appropriate of workflow design is at very high levels.

Index Terms—Intelligent information management, digitization workflow.

S. Channgam is with the Division of Information and Communication Technology for Education, Faculty of Industrial Education, King Mongkut's University of Technology North Bangkok (KMUTNB), Thailand (e-mail: chet037@gmail.com).
P. Nilsook and P. Wannapiroon are with the Division of Information and Communication Technology for Education, Faculty of Technical Education, King Mongkut's University of Technology, North Bangkok (KMUTNB), Thailand (e-mail: prachyanunn@kmutnb.ac.th, panitaw@kmutnb.ac.th).

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Cite: Surachet Channgam, Prachyanun Nilsook, and Panita Wannapiroon, "Intelligent Information Management with Digitization Workflow," International Journal of Machine Learning and Computing vol. 9, no. 6, pp. 886-892, 2019.

Copyright © 2019 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

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Scopus (since 2017), Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net


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