A Case-Based Reasoning Approach to University-Industry Problem-Solving Knowledge Repository

Abstract:

This paper applies case-based reasoning approach in university-industry problem-solving to solve problems emerged in knowledge flow when companies cooperate with universities. Solve the problems or conflicts in this domain are very important for companies, because these will decide whether companies could get competitive advantages or not. Capturing and preserving past experiences and knowledge of individuals in company by CBR will form corporate memory which facilitates the cooperation. Case structure and case features are presented in this paper.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 3225-3229
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.3225
• Online since: September 2013
• Authors: Hong Yan Yang
• Keywords: Case-Based Reasoning (CBR), Knowledge-Flow, Problem

References

[1] P. F. Drucker, Post-capitalist Society, New York, NY: Harper Business.

[2] W.F. -S. Vincent, An empirical study of university-industry research cooperation-the case of Taiwan www. oecd. org/dataoecd/37/53/2751223. pdf. (2000).

[3] F-K. Wang, T. Means, W. John, Flying the KITE(knowledge innovation for technology in education) through a case-based reasoning knowledge repository,. 2003: 11: 19-31.

DOI: 10.1108/10748120310486753

[4] A. Brooking, Corporate Memory: Strategies for Knowledge Management, London: International Thomson Business Press, (1999).

[5] T. H. Davenport, L. Prusak, Working knowledge: how organizations manage what they know, Boston, MA: Harvard Business School Press, (1997).

DOI: 10.1108/nlw.2000.101.6.282.4

[6] J. Kolodner, Case-based Reasoning, San-Mateo, CA: Morgan Kaufmann, (1993).

[7] R. C. Schank, Dynamic Memory Revisited, New York: Cambriage University Press, (1999).

[8] D. B. Leake. Case-based Reasoning: Experience, Lessons and Future Directions, Menlo Park: AAAI Press, (1996).

[9] B. P. Allen, Cae-based resoning : business applications[J], 1994: 37: 40-42.

[10] D. W. Aha, I. Becerra-Fernandez, F. Maufer, Exploring synergies of knowledge management and case-based reasoning. AAAI 1999 Workshop. Menlo Park, CA; AAAI Press. (1999).

[11] I. Waston. Applying Case-based Reasoning: Techniques for Enterprise Systems, San Francisco, CA: Morgan Kaufmann Publishers Inc., (1997).

[12] P. Jackson, Introduction to Expert Systems, 3rd ed. Reading, MA: Addison-Wesley, (1999).

[13] K. L. Choy, K. K. H. Fan, V. LO, Development of an Intelligent Customer-supplier Relationship Management System: the Application of case-based reasoning[J], 2003: 103: 263-274.

DOI: 10.1108/02635570310470665

[14] D. C. Edelson, E. A. Domeshek, Proceedings of the International Conference on the Learning Sciences, in Prombelm-based learning meets case-based reasoning, Kolodner J, Hmelo C E, Narayanan N H. Evanston, IL; Eds. Northwestern University Press. (1996).

[15] K. L. Choy, W. B. Lee, Multi-agent-based Virtual Enterprise Supply Chain Network for Order Management[J], Journal of Industrial Engineering Research. 2001: 2: 126-141.

[16] C. Wang, C. Fergusson, D. A. Perry, Cconceptual case-based model for knowledge sharing among supply chain members[J], Business Process Management. 2008: 14: 147-165.

DOI: 10.1108/14637150810864907