Knowledge Base Revision through Exception-Driven Discovery and Learning

We are enhancing Disciple by developing a mixed-initiative multistrategy approach to KB revision that will result in an extended and domain-adapted ontology, as well as a set of rules with fewer (if any) exceptions. We are developing two classes of KB revision methods, a class of local methods and a class of global methods.

Authors

• Seok Won Lee
• Gheorghe Tecuci
• George Mason University

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