Automated generation of model-based knowledge acquisition tools
Automated generation of model-based knowledge acquisition tools
Validation in a knowledge support system: construing and consistency with multiple experts
The foundations of knowledge acquisition
Heuristic determination of quantitative data for knowledge acquisition in medicine
Computers and Biomedical Research
Automating Knowledge Acquisition for Expert Systems
Automating Knowledge Acquisition for Expert Systems
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
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Some aspects of knowledge base creation can be partially or completely automated, resulting in higher quality and smaller effort. Computer assistance is particularly valuable in ensuring the internal consistency of a knowledge base. The article describes several techniques for consistency enforcement in QMR-KAT, an interactive knowledge base editor for the INTERNIST-I/QMR medical knowledge base. Two strategies that improve consistency are applicable to a wide range of situations. The first strategy prevents simple (but common) inconsistencies. The second strategy reveals facts that are potentially (but not necessarily) inconsistent with known data, and may require further evaluation. Both strategies use the contents of the existing knowledge base in the evaluation of new facts.