| Abstract
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Building knowledge-based systems today usu … Building knowledge-based systems today usually entails constructing a new knowledge base from scratch. Even if several groups of researchers are working in the same general area, such as medicine or electronic diagnosis, each team must develop its own knowledge base from scratch. The cost of this duplication of effort has been high and will become prohibitive as we build larger and larger systems. Furthermore, lack of methodology for sharing and communicating knowledge poses a significant road-block in developing large multi-center research projects such as DARPA/Rolm Laboratory Planning and Scheduling Initiative. To overcome these barrier and advance the state of the art, we must find ways of preserving existing knowledge bases, and sharing, reusing, and building on them. nd sharing, reusing, and building on them.
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