Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm

Authors(2) :-Chris M. Jayachandran, Dr. Shyamala Kannan

Application of ART Neural Network Algorithm for Knowledge Management System development is one of its kinds Research Work. This pioneering effort is the fusion of domains such as Knowledge Management (KM) and Artificial Neural Networks. This Research Work is the modular fine-tuning in the existing KM Systems development methodologies. This paper proposes the sure-to-yield-results ‘Plasticity-stability’ feature of ART Neural Networks in KM System development. The proposed solution is groundbreaking that nullifies many of the disadvantages that prevailing KM system development life-cycle has under its belt.

Authors and Affiliations

Chris M. Jayachandran
Department of Computer Applications (M.C.A), Loyola College (Autonomous), Chennai, Tamilnadu, India
Dr. Shyamala Kannan
Department of Computer Science, Dr. Ambedkar Govt. Arts College, Vyasarpadi, Chennai, Tamilnadu, India

Knowledge Management, Knowledge Assets, Knowledge Walkouts, Tacit Knowledge, Knowledge Artifacts, Knowledge Maps, ART Algorithm – Plasticity and Stability, Organizational Memory.

  1. Colin Coulson-Thomas, “The Knowledge Entrepreneur”, Kogan Page, 2004, ISBN 0-7494-4235-2, Pages 24,26,35-36,46.
  2. Hibbard, Justing, “Knowing What We Know”, Information Week, October 20, 1997, Page 46.
  3. Eds. Sajja & Akerkar , “Advanced Knowledge Based Systems:Model, Applications & Research (Eds. Sajja & Akerkar)” TMRF e-Book Vol. 1, pp 1 11, 2010
  4. Amrit Tiwana, Second Edition, “The knowledge Management Toolkit orchestrating IT, Strategy, and Knowledge Platforms”Pearson Education Inc. ISBN 978-81-317-0635-0 Page 34, 44, 72-73, 90
  5. http://eprints.kingston.ac.uk/2291/1/Gourlay%202004%20SECI.pdf
  6. Shih-Wei Chou and Mong-Young He, Department of Information Management, National Kaohsuing First University of Science and Technology, Taiwan “Knoledge Management: the distinctive roles of Knowledge Assets in facilitating Knowledge Creation” Shih-Wei Chou and Mong-Young He, Department of Information Management, National Kaohsuing First University of Science and Technology, Taiwan Journal of Information Science, Vol.30 2nd November 2004, Pages 146-164.
  7. Stefania Bandini, Ettore Colombo, Gianluca Colombo, Fabio Sartori, Carla Simone Department of Computer Science, Systems and Communication, “The Role of Knowledge Artifacts in Innovation Management: the Case of a Chemical Compound Designer CoP” - University of Milano-Bicocca via Bicocca degli Arcimboldi 8 - 20126 Milan (ITALY)
  8. Federico Cabitza1, Carla Simone and Marcello Sarini - Comunicazione Dipartimento di Informatica, Sistemistica e, “Knowledge Artifacts as “Bridges between Theory and Practice: The Clinical Pathway Case”. Universit degli Studi di Milano-Bicocca, Italy, {cabitza, simone}@disco.unimib.it 2 Dipartimento di Psicologia. Universit degli Studi di Milano-Bicocca, Italy, sarini@disco.unimib.it
  9. http://www.gartner.com/it-glossary/k-map-knowledge-map/
  10. Ellias M. Awad and Hassan Ghaziri, “Knowledge Management”, Pearson, 2007, ISBN 978-81-317-1403-4, Page 75.
  11. “Actualizing Organizational Memory with Information Systems”, - Pennsylvania State University, -Fairleigh Dickinson University, Teaneck, New Jersey

Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 486-492
Manuscript Number : IJSRSET1522144
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Chris M. Jayachandran, Dr. Shyamala Kannan , " Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.486-492, March-April-2015.
Journal URL : http://ijsrset.com/IJSRSET1522144

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