Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A theory of diagnosis from first principles
Artificial Intelligence
Refinement of knowledge bases based on consistency
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
The Representation of Semantic Constraints in Conceptual Graph Systems
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
A Semantic Validation of Conceptual Graphs
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Checking an expert systems knowledge base for consistency and completeness
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Verification of knowledge bases based on containment checking
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
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The semantic validation of a knowledge base (KB) consists in checking its quality according to constraints given by an expert. The refinement of a KB consists in correcting the errors that are detected during the validation, in order to restore the KB validity. We propose to perform the semantic validation and refinement of a KB composed of conceptual graphs in two stages. First, we study the coherence of the KB with respect to negative constraints, which represent the knowledge that the KB must not contain. When the KB is not coherent, we propose a solution to correct all the errors of the KB. Second, we study the completeness of the KB with respect to positive constraints, which represent the knowledge that the KB must contain. When the KB is not complete, we propose an assistant, which helps the user to correct the errors of the KB one by one.