Knowledge acquisition

Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system.

Expert systems were one of the first successful applications of artificial intelligence technology to real world business problems.

[1] Researchers at Stanford and other AI laboratories worked with doctors and other highly skilled experts to develop systems that could automate complex tasks such as medical diagnosis.

Technologies such as inference engines allowed developers for the first time to tackle more complex problems.

Natural language parsing could be performed on manuals and other expert documents and an initial first pass at the rules and objects could be developed automatically.