Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-29T06:53:02.999Z Has data issue: false hasContentIssue false
  • English
  • Français

Knowledge transfer: a key to successful application of knowledge-based systems

Published online by Cambridge University Press:  07 July 2009

Kiyoshi Niwa
Kiyoshi Niwa
Affiliation:
Advanced Research Laboratory, Hitachi Ltd, Kokubunji, Tokyo 185, Japan
Get access Rights & Permissions [Opens in a new window]

Abstract

For successful application of knowledge-based systems, “knowledge transfer” (KT) should be receiving more attention. Knowledge transfer is defined as a flow of knowledge from knowledge suppliers through knowledge-based systems to users. Insufficient state-of-the-application of knowledge-based systems in Japan and its near future directions are analysed in terms of KT. Some example tasks for improving KT are reported. These tasks were experienced by the author in the course of 10 years of research and development on knowledge-based systems for project management.

Type
Technology Transfer
Information
The Knowledge Engineering Review , Volume 2 , Issue 3 , September 1987 , pp. 147 - 151
Copyright
Copyright © Cambridge University Press 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bieber, H, 1969. “Technology transfer in practice” IEEE Transactions on Engineering Management EM–16 (4) p. 144.CrossRefGoogle Scholar
Boyle, K A, 1986. “Technology transfer between universities and the UK offshore industry” IEEE Transactions on Engineering Management EM–33 (1) p. 33.CrossRefGoogle Scholar
Feigenbaum, E A, 1977. “The art of artificial intelligence: I. Themes and case studies of knowledge engineering” Proceedings of IJCAI–77 p. 1014.CrossRefGoogle Scholar
Harris, L R, 1984. “Experience with INTELLECT: artificial intelligence technology transfer” The AI Magazine 5 (2) p. 43.Google Scholar
Kaplan, S J, 1984. “The industrialization of artificial intelligence: from by-line to bottom line” The AI Magazine 5 (2) p. 51.Google Scholar
Lenat, D B and Feigenbaum, E A, 1987. “On the thresholds of knowledge” Proceedings of IJCAI–87 p. 1173.Google Scholar
Niwa, K, Okuma, M, Seki, S and Fujine, I, 1979. “Development of a risk alarm system for big construction projects” Proceedings of 1979 Project Management Institute Symposium p. 221.Google Scholar
Niwa, K and Okuma, M, 1982. “Know-how transfer method and its application to risk management for large construction projects” IEEE Transactions on Engineering Management EM–29 (4) p. 146.Google Scholar
Niwa, K and Sasaki, K, 1983. “A new project management system approach: the know-how based project management system” Project Management Quarterly 14 (1) p. 65.Google Scholar
Niwa, K, Sasaki, K and Ihara, H, 1984. “An experimental comparison of knowledge representation schemes” The AI Magazine 5 (2) p. 29.Google Scholar
Niwa, K, 1986. “A knowledge-based human-computer cooperative system for ill-structured management domains” IEEE Transactions on Systems, Man, and Cybernetics SMC–16 (3) p. 335.Google Scholar
Niwa, K, 1988. Human-computer cooperative systems: a case study of knowledge-based risk management for large construction projects, New York: John Wiley (in press).Google Scholar
Rothwell, R, 1978. “Some problems of technology transfer into industry: examples from the textile machinery sector” IEEE Transactions on Engineering Management EM–25 (1) p. 15.CrossRefGoogle Scholar