Combining paradigms in knowledge engineering

doi:10.1016/0169-023X(92)90015-4

Data & Knowledge Engineering

Volume 9, Issue 1, October 1992, Pages 1-18

https://doi.org/10.1016/0169-023X(92)90015-4 Get rights and content

Abstract

A system supporting knowledge engineering is presented that combines hypermedia, knowledge acquisition, expert system shell and database systems to provide an integrated end-user environment. The integration is achieved through inter-application communication protocols operating between four programs designed independently for stand-alone use. The system supports a wide variety of forms and representations of knowledge from the highly informal to the highly computational. It is extremely non-modal and allows knowledge acquisition and knowledge consultation to be combined in a variety of ways. In particular, the acquisition tool which may then be re-analyzed, possibly resulting in changed advice.

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¹: Dr. Brian R. Gaines is Killam Memorial Research Professor and Director of the Knowledge Science Institute at the University of Calgary. His previous positions include Professor of Industrial Engineering at the University of Toronto, Technical Director and Deputy Chairman of the Monotype Corporation, and Chairman of the Department of Electrical Engineering Science at the University of Essex. He received his B.A., M.A. and Ph.D. from Trinity College, Cambridge, and is a Chartered Engineer, and a Fellow of the Institution of Electrical Engineers, the British Computer Society and the British Psychological Society. He is editor of the International Journal of Man-Machine Studies and Knowledge Acquisition, and of the Computers and People and Knowledge-Based Systems book series. He has authored over 300 papers and authored or edited 10 books on a wide variety of aspects of computer and human systems. His research interests technology; the nature, acquisition and transfer of knowledge; software engineering for heterogeneous systems; and expert system applications in manufacturing, the professions, sciences and humanities.

²: Alain T. Rappaport received an M. D. degree from the Université René Descartes, Necker Medical School (Paris VI) in 1984 and a Ph.D. in Molecular Pharmacology from the Université Pierre et Marie Curie (Paris VI) in 1984. Researcher in machine learning at Carnegie-Mellon University in 1984–1985, prior to co-founding Neuron Data. Currently President and Chief Scientist of Neuron Data. Palo Alto, and adjunct research scientist, the Robotics Institute, School of Computer Science, Carnegie-Mellon University. Research interests include knowledge acquisition, reasoning architectures, cognitive foundations of AI and the relation of new generation software.

³: Dr Mildred L.G. Shaw is Professor of Computer Science at the University of Calgary. She received her B. Sc. and M. Sc. from the University of London, and her Ph.D. from Brunel University. She is a Fellow of the Institute of Mathematics and its Applications and the British Computer Society and an Associate Fellow of the British Psychological Society. Dr. Shaw is a member of the editorial boards of the International Journal of Man-Machine Studies and Knowledge Acquisition, and managing editor of Future Computing Systems. She has authored over 100 papers and authored or edited 5 books on a wide variety of aspects of computer and human systems. Her research interests include: human-computer interaction; the acquisition and transfer of knowledge; software engineering; and expert system applications.

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