Knowledge representations : a state of the art survey / by Kim Dalkir. : Co28-1/54-1987E-PDF

"The major knowledge representation schemes used in the field of artificial intelligence are presented here. An overview is given of the particular strengths and weaknesses of each approach to provide a comparative evaluation of the various knowledge representations. A number of different classification schemes are also included in order to provide a general frame of reference. Samples of each representation are given in the appendix at the end. The types of representations discussed include: semantic nets, object-value-attribute triplets, frames, scripts, conceptual dependency maps, rule or logic based methods, genetic graphs, constraint networks, concept entailment meshes and generalised concept models. While most of the work being done in knowledge representation is within the field of artificial intelligence, particularly in knowledge engineering procedures required in the development of expert systems, other contributing fields are incorporated in this overview. Applications to a variety of domains such as psychology and education are also briefly addressed"--Summary.

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