An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
A model for developing large shared knowledge bases
CIKM '93 Proceedings of the second international conference on Information and knowledge management
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
From Conceptual Model to Internal Model
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Applying Reliability Engineering to Expert Systems
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Knowledge Object Decomposition
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Addressing Efficiency Issues During the Process of Integrity Maintenance
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Understanding Expert Systems Maintenance
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
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Knowledge 'decay' is a measure of the degradation of knowledge integrity. In a unified knowledge representation, data, information and knowledge are all represented in a single formalism as "items". A unified knowledge representation is extended here to include two measures of knowledge integrity. A rule of inference is defined on the unified knowledge representation that preserves the validity of these two measures. This rule of inference is used to define a normalised knowledge base. The use of a unified knowledge represenation and the application of knowledge base normalisation simplifies the estimation of knowledge decay.