An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
Handbook of theoretical computer science (vol. B)
A model for developing large shared knowledge bases
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Verification and validation with ripple-down rules
International Journal of Human-Computer Studies - Special issue: verification and validation
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
A Framework for Knowledge Reuse
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference
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Data, information and knowledge are all represented in a single formalism as "items". Items contain two types of acceptability measures that measure the invalidity of item instances. Objects are item building operators that also contain two types of acceptability measures. These acceptability measures define a graduated acceptability region for data, information and knowledge. This region represents 'just invalid' knowledge. A quantitative calculus estimates the extent to which a knowledge base may be expected to extend into this region as time passes. This calculus is simplified by the use of the unified knowledge representation. A single rule of knowledge decomposition simplifies the structure of the conceptual model. Expressions in this calculus are simplified if the knowledge has been decomposed.