We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:An Efficient Multi-Expert Knowledge Capture Technique

by Julius O. Okesola, Oluwafemi S. Ogunseye, Olusegun Folorunso
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 10
Year of Publication: 2010
Authors: Julius O. Okesola, Oluwafemi S. Ogunseye, Olusegun Folorunso
10.5120/1245-1611

Julius O. Okesola, Oluwafemi S. Ogunseye, Olusegun Folorunso . Article:An Efficient Multi-Expert Knowledge Capture Technique. International Journal of Computer Applications. 8, 10 ( October 2010), 6-9. DOI=10.5120/1245-1611

@article{ 10.5120/1245-1611,
author = { Julius O. Okesola, Oluwafemi S. Ogunseye, Olusegun Folorunso },
title = { Article:An Efficient Multi-Expert Knowledge Capture Technique },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 10 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number10/1245-1611/ },
doi = { 10.5120/1245-1611 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:00.919869+05:30
%A Julius O. Okesola
%A Oluwafemi S. Ogunseye
%A Olusegun Folorunso
%T Article:An Efficient Multi-Expert Knowledge Capture Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 10
%P 6-9
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Capturing tacit knowledge from multiple experts in different location have not been exactly the easiest of activity for organizations and knowledge developers alike. In this research, the time tested and trusted Delphi technique is critically analyzed to allow for the automation of its processes. A simple prototype design is used to model the algorithm for the creation of an e-Delphi; a framework prototype and a guide to system developers . The algorithm and the framework presented in this work will help in the creation of KMSs and web based systems that can capture multiple expert knowledge in a collaborative environment.

References
  1. Zack M., McKeen J. and Singh S. 2009. Knowledge Management and Organizational Performance: an exploratory analysis. Journal of Knowledge Management, emerald group publishing Limited vol.13 no 6. 2009 pp 392-409.
  2. Jennex Murray 2005. Case studies in Knowledge Management. Idea Group Publishing.
  3. Davenport, T.H. and Prusak, L. 1998. Working knowledge: how organizations manage what they know, Harvard Business School Press, Boston, MA.
  4. Polanyi M. 1958. Personal Knowledge: towards a post critical philosophy. Chicago: the University of Chicago Press.
  5. Polanyi M. 1974. Knowing and Being. Chicago: the University of Chicago Press.
  6. Nonaka I. 1994. A dynamic theory of organizational knowledge creation. Organization Science. Vol. 5, No. 1, pp 14-37.
  7. Awad E.M. & Ghaziri H. 2004.Knowledge Management, Pearson Education, Inc ., Upper Saddle River, New Jersey.
  8. Linstone H and Turoff M. 1975. The Delphi method: techniques and applications, Addison-Wesley
  9. Ludwig, B. G. 1994. Internationalizing Extension: An exploration of the characteristics evident in a state university Extension system that achieves internationalization. Unpublished doctoral dissertation, The Ohio State University, Columbus.
  10. Turoff M. & Hiltz Starr R. 1996. Computer Based Delphi Process [online] http://web.njit.edu/˜turoff/Papers/delphi3.html[accessed 18/08/2010]
  11. Hsu C. & Sandford Brian A. 2007. The Delphi Technique: Making Sense of Consensus, Practical Assessment, Research & Evaluation. Vol 12, No 10.
  12. Cyphert, F. R., & Gant, W. L. (1971). The Delphi technique: A case study. Phi Delta Kappan, 52, 272-273.
  13. Brooks, K. W. 1979. Delphi technique: Expanding applications. North Central Association Quarterly, 54 (3), 377-385.
  14. Ludwig, B. (1997). Predicting the future: Have you considered using the Delphi methodology? Journal of Extension, 35 (5), 1-4. Retrieved November 6, 2005 from http://www.joe.org/joe/1997october/tt2.html
  15. Custer, R. L., Scarcella, J. A., & Stewart, B. R. (1999). The modified Delphi technique: A rotational modification. Journal of Vocational and Technical Education, 15 (2), 1-10.
  16. Witkin, B. R., & Altschuld, J. W. (1995). Planning and conducting needs assessment: A practical guide. Thousand Oaks, CA: Sage Publications, Inc.
  17. Ogunseye O.S., Folorunso O., Okesola J.O. & Woodward J.R. 2010[in press], The EVAS Model: Solving E-Voting Problems in Nigeria. Journal of Theoretical and Applied Information Technology.
  18. Feldman R., Fresko M., Hirsh Haym, Aumann Y., Liphstat O., Schler Y. and Rajman M., 1998. Knowledge Management: A Text Mining Approach. Proceedings of the 2nd Int. Conf. on Practical Aspects of Knowledge Management (PAKM98), Basel, Switzerland.
  19. Das D. and Martins Andre F.T. 2007., a survey on automatic text summarization
Index Terms

Computer Science
Information Sciences

Keywords

Multiple Knowledge Capture Knowledge Management Delphi Technique NLP

Powered by PhDFocusTM