Abstract
The challenge companies will have to meet when making the leap from the industrial era to the knowledge era is the memorization of corporate knowledge and its dissemination to employees throughout the organization. Developing a corporate memory is the means chosen by DMR Consulting Group to capitalize on and manage its expertise in information technology. This paper presents a study conducted to choose a formalism to represent the know-how and methodologies — processes, techniques and learning materials — in corporate memory. It compares modeling formalisms against specific requirements and demonstrates that conceptual graphs are well suited to implement corporate memories. More specifically, we show that conceptual graphs support: (i) classification and partial knowledge, (ii) category or instance in relationship and (iii) category or instance in metamodel.
Preview
Unable to display preview. Download preview PDF.
References
G. Booch, J. Rumbaugh, and Jacobson I. Unified Modeling Language, Version 1.0. Rational Software Corporation, 1997.
R. J. Brachman and al. Living with classic: When and how to use a kl-one-like language. In John Sowa, editor, Principles of Semantic Networks: Exploration in the Representation of Knowledge, pages 401–456. Morgan Kaufmann, 1991.
Prahalad C. and Hamel G. The core competence, of the organization. Harvard Business Review, pages 79–91, 1990.
P. Chen. The entity-relationship model — toward a unified view of data. ACM Transactions on Database Systems, l(1):9–36, 1976.
E. F. Codd. A relational model of data for large shared data banks. Communications of ACM, 13(6):377–387, 1970.
R. Elmasri and S. Navathe. Fundamentals of Database Systems. The Benjamin/Cummings Publishing Company Inc., Redwood City, California, 1989.
G. Engels, M. Gogolla, U. Hohenstein, Hülsmann K., Löhr-Richter P., Saake G., and Ehrich H.-D. Conceptual modelling of database applications using an extended er model. Data & Knowledge Engineering, 9(2):157–204, 1992.
O. Gerbé et al. Macroscope Architecture: Architecture of DMR Repository. DMR Group Inc., Montréal, Québec, 1994.
O. Gerbé, B. Guay, and M. Perron. Using conceptual graphs for methods modeling. In Proceedings of the 4th International Conference on Conceptual Structures, Sydney, 1996.
O. Gerbé and M. Perron. Presentation definition language using conceptual graphs. In Peirce Workshop Proceedings, Santa Cruz, California, 1995.
DMR Consulting Group. DMR Macroscope. DMR Consulting Group Inc., 1996.
C. Havens. Enter, the chief knowledge officer. CIO Canada, 4(10):36–42, 1996.
C. S. Peirce. Collected Papers of C.S. Peirce. Harvard University Press.
J. F. Sowa. Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, 1984.
E. W. Stein. Organizational memory: Review of concepts and recommendations for management. International Journal of Information Management, 15(1):17–32, 1995.
G. van Heijst, R. van der Spek, and E. Kruizinga. Organizing corporate memories. In KAW 96 Proceedings, Banff, 1996.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gerbé, O. (1997). Conceptual graphs for corporate knowledge repositories. In: Lukose, D., Delugach, H., Keeler, M., Searle, L., Sowa, J. (eds) Conceptual Structures: Fulfilling Peirce's Dream. ICCS 1997. Lecture Notes in Computer Science, vol 1257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027892
Download citation
DOI: https://doi.org/10.1007/BFb0027892
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63308-2
Online ISBN: 978-3-540-69424-3
eBook Packages: Springer Book Archive