Knowledge engineering
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Knowledge engineering (KE) refers to all aspects involved in knowledge-based systems.
Knowledge engineering (KE) refers to all aspects involved in knowledge-based systems. === Expert systems=== One of the first examples of an expert system was MYCIN, an application to perform medical diagnosis. In the MYCIN example, the domain experts were medical doctors and the knowledge represented was their expertise in diagnosis. Expert systems were first developed in artificial intelligence laboratories as an attempt to understand complex human decision making. Based on positive results from these initial prototypes, the technology was adopted by the US business community (and later worldwide) in the 1980s. The Stanford heuristic programming project led by Edward Feigenbaum was one of the leaders in defining and developing the first expert systems. ==See also== Knowledge level modeling Knowledge management Knowledge representation and reasoning Knowledge retrieval Knowledge tagging Method engineering ==References== ==External links== Data & Knowledge Engineering – Elsevier Journal Knowledge Engineering Review, Cambridge Journal The International Journal of Software Engineering and Knowledge Engineering – World Scientific IEEE Transactions on Knowledge and Data Engineering Expert Systems: The Journal of Knowledge Engineering – Wiley-Blackwell
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