MOLE: a tenacious knowledge-acquisition tool
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Complex information processing: a file structure for the complex, the changing and the indeterminate
ACM '65 Proceedings of the 1965 20th national conference
Hypertext and structured object representation: an unifying view
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
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The most time consuming portion of constructing an expert system is the knowledge acquisition phase. A general knowledge acquisition tool designed around a hypertext concept could allow a knowledge engineer to list important concepts, create nodes attached to these concepts which explain their relevance, connect related concepts by linking their nodes, use graphics to explain difficult concepts, and even critique information entered into the system previously. In such a system, knowledge acquisition would not be confined to linear input of information. The knowledge engineer could use the hypertext system to compile knowledge gathered from an expert after interviewing, or s/he could enter the knowledge into the system as the expert sits there telling her/him what information to encode. The advantage of a hypertext knowledge acquisition tool is that all knowledge relevant to the expert system would be centralized into a hypertext knowledge base which the expert, or experts, can peruse and verify before the knowledge is encoded into a representation scheme. Then when the knowledge engineer does transfer the knowledge into a scheme suitable for use by an expert system, s/he can be sure that the knowledge is complete, sufficient, necessary, and correct.