Abstract
This chapter illustrates The Knowledge Factory, which is a computer-based environment that allows a domain expert to collaborate directly with a machine learning system at all stages of the knowledge acquisition process. This system is distinguished from previous such systems by its orientation toward direct use by domain experts with minimal computing sophistication and by incorporating machine learning facilities. It is not necessary for the expert to provide solutions for every contingency that the knowledge base must cover. The machine learning system fills gaps in the expert's expertise. Both the machine learning system and the expert can critique and propose refinements to the other's rules. Another distinctive feature of The Knowledge Factory is the manner in which communication with the user is structured around the use of example cases. New techniques allow both the user and the system to convey nontrivial information through this mechanism. Case studies have found that such users have little difficulty using the system. Controlled studies suggest that the integration of machine learning with knowledge acquisition within the system can outperform either constituent approach in isolation.
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