Abstract

Role-limiting approaches support knowledge acquisition (KA) by centering knowledge base construction on common types of tasks or domain-independent problem-solving strategies. Within a particular problem-solving strategy, domain-dependent knowledge plays speci c roles. A KA tool then helps a user to ll these roles. Although role-limiting approaches are useful for guiding KA, they are limited because they only support users in lling knowledge roles that have been built in by the designers of the KA system. EXPECT takes a di erent approach toKAby representing problem-solving knowledge explicitly, and deriving from the current knowledge base the knowledge gaps that must be resolved by the user during KA. This paper contrasts role-limiting approaches and EXPECT's approach, using the propose-and-revise strategy as an example. EXPECT not only supports users in lling knowledge roles, but also provides support in 1) adapting the problemsolving strategy, 2) changing the types of information to be acquired about a knowledge role, 3) adding new knowledge roles, and 4) acquiring additional background information about the domain needed by the knowledge-based system. EXPECT's guidance changes as the knowledge base changes, providing a more exible approach toknowledge acquisition. This work provides

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