Acquiring knowledge is an important stage in creating expert systems: it is achieved by the knowledge engineer
who needs to have a good knowledge of the methods of representing knowledge, methods provided by knowledge engineering such as: the method based on production rules; the method based on semantic nets; the frame-based method; the method based on logical models (propositional logic, the logic of predicates of the 2nd order); the method based on probabilistic logic (Bayesian logic); the method based on fuzzy set and logic (Moise, 2007).
5] In order to lessen the difficulty of performing knowledge acquisition and to better educate students on this subject, multimedia aids and automated knowledge acquisition tools are needed to support the knowledge engineer
Expert systems are becoming more userfriendly and are requiring fewer computer skills by the knowledge engineer
An individual whose specialty is assessing problems, acquiring knowledge, and building knowledge systems.
At that time, they realized that they couldn't learn all there was to know on their own--they needed the help of a knowledge engineer
and turned to IBM for help.
During the second state, conceptualization, the expert and knowledge engineer
discuss and determine the key concepts, data relationships and information-flow characteristics that describe the problem-solving process.
The knowledge engineer
interviews one or more experts and then distills the information relevant to the application into a set of rules or some other form of knowledge representation that reflects the behavior of human experts.
Eric Knight, MIS, CISSP, CISM, CEH, is senior knowledge engineer
Because of hidden assumptions, the expert and knowledge engineer
have blind spots.
The DISCIPLE approach attempts to change the way intelligent agents are built, from "being programmed" by a knowledge engineer
to "being taught" by a user who does not have prior knowledge engineering or computer science experience.
The challenge then became to facilitate the knowledge-engineering process by designing a common language between the knowledge engineer
and the domain expert.
OntoReason chief knowledge engineer
, and subject matter expert, Dr.