Abstract
Creating the knowledge base of an expert system, as when developing any model, requires the abstraction of some reality. The important aspects of a problem area must be identified and extracted. The often difficult process of identifying, extracting, and representing those important domain aspects for use by an expert system is called knowledge acquisition. Successful knowledge acquisition is often considered the major obstacle in the construction of knowledge-based advice systems.1
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Musen, M.A., Combs, D.M., Walton, J.D., Shortliffe, E.H., Fagan, L.M. (1988). OPAL: Toward the Computer-Aided Design of Oncology Advice Systems. In: Miller, P.L. (eds) Selected Topics in Medical Artificial Intelligence. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8777-0_13
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DOI: https://doi.org/10.1007/978-1-4613-8777-0_13
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