Abstract
The problem of maintaining a knowledge base is substantially concerned with keeping track of rules that share common wisdom. A knowledge representation is described in which a collection of rules that are based on common wisdom are represented as a single ‘item’. For items, maintenance hazards, caused by one item being partially hidden within another, still remain. ‘Objects’ are introduced as item building operators so enabling these hidden links to be identified and made explicit. A single operation for objects enables some of these hidden links to be removed thus simplifying maintenance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
.Barr, V. (1999). “Applying Reliability Engineering to Expert Systems” in proceedings 12th International FLAIRS Conference, Florida, May 1999, pp494–498.
.Debenham, J.K. “Knowledge Engineering”, Springer-Verlag, 1998.
.Debenham, J.K. “The Degradation of Knowledge Base Integrity”, in proceedings 13th International FLAIRS Conference FLAIRS-2000, Orlando, Florida, May 2000, pp113–117.
.Debenham, J.K. (1999). “Knowledge Object Decomposition” in proceedings 12th International FLAIRS Conference, Florida, May 1999, pp203–207.
.Debenham, J.K. “Representing Knowledge Normalisation”, in proceedings Tenth International Conference on Software Engineering and Knowledge Engineering SEKE’98, San Francisco, US, June 1998.
.Date, C.J., “An Introduction to Database Systems” (4th edition) Addison-Wesley, 1986.
.Mayol, E. and Teniente, E. (1999). “Addressing Efficiency Issues During the Process of Integrity Maintenance” in proceedings Tenth International Conference DEXA99, Florence, September 1999, pp270–281.
.Ramirez, J. and de Antonio, A. (2000). “Semantic Verification of Rule-Based Systems with Arithmetic Constraints” in proceedings 11th International Conference DEXA2000, London, September 2000, pp437–446.
.Katsuno, H. and Mendelzon, A.O., “On the Difference between Updating a Knowledge Base and Revising It”, in proceedings Second International Conference on Principles of Knowledge Representation and Reasoning, KR’91, Morgan Kaufmann, 1991.
Johnson, G. and Santos, E. (2000). “Generalizing Knowledge Representation Rules for Acquiring and Validating Uncertain Knowledge” in proceedings 13th International FLAIRS Conference, Florida, May 2000, pp186–2191.
Werner, E. “Logical Foundations of Distributed Artificial Intelligence” in O’Hare, G.M.P. & Jennings, N.R. (Eds) “Foundations of Distributed Artificial Intelligence”, pp57–118, Wiley, 1996.
Darwiche, A. (1999). “Compiling Knowledge into Decomposable Negation Normal Form” in proceedings International Joint Conference on Artificial Intelligence, IJCAI’99, Stockholm, Sweden, August 1999, pp 284–289.
Jantke, K.P. and Herrmann, J. (1999). “Lattices of Knowledge in Intelligent Systems Validation” in proceedings 12th International FLAIRS Conference, Florida, May 1999, pp499–505.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Debenham, J. (2001). Knowledge Base Maintenance through Knowledge Representation. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_59
Download citation
DOI: https://doi.org/10.1007/3-540-44759-8_59
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42527-4
Online ISBN: 978-3-540-44759-7
eBook Packages: Springer Book Archive