An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
Logical foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
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
Lattices of Knowledge in Intelligent Systems Validation
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
The Degradation of Knowledge Base Integrity
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference
Generalizing Knowledge Representation Rules for Acquiring and Validating Uncertain Knowledge
Proceedings of the Thirteenth 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
Semantic Verification of Rule-Based Systems with Arithmetic Constraints
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Compiling knowledge into decomposable negation normal form
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Maintaining knowledge with a formal model
Applied Intelligence
Building maintainable knowledge bases with knowledge objects
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
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In a unified knowledge representation, data, information and knowledge are all represented in a single formalism. A unified knowledge representation based on "items" is described. Items contain two classes of constraints that apply equally to knowledge and to data. Items are compared to an if-then, or rule-based, knowledge representation. Simple chunks of knowledge that can only be represented by a number of rules are represented as single items. Rule-based formalisms are prone to the introduction of potential maintenance hazards caused by one rule being hidden within another. A single operation for items enables some of these hidden relationships to be removed. Items make it difficult to analyse the structure of a whole application. To make the inherent structure of items clear, 'objects' are introduced as item building operators. The use of objects to build items enables the hidden links in the knowledge to be identified. A single operation for objects enables all of these hidden links to be removed from the conceptual model thus simplifying maintenance.