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Integrated Knowledge Acquisition Architectures (1992)
| Citations: | 22 - 7 self |
BibTeX
@MISC{Gaines92integratedknowledge,
author = {Brian R. Gaines and Mildred L.G. Shaw},
title = {Integrated Knowledge Acquisition Architectures},
year = {1992}
}
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Abstract
An architecture for knowledge acquisition systems is proposed based upon the integration of existing methodologies, techniques and tools developed within the knowledge acquisition, machine learning, expert systems, hypermedia and knowledge representation research communities. Existing tools are analyzed within a common framework to show that their integration can be achieved in a natural and principled fashion. A detailed architecture for integrated knowledge acquisition systems is proposed that also derives from parallel cognitive and theoretical studies. 1 INTRODUCTION The past decade has seen an explosion in research on, and application of, knowledge acquisition methodologies, techniques and tools (Marcus, 1988; Boose & Gaines, 1988, 1990; Gaines & Boose, 1988; Boose, 1989). The knowledge acquisition community world-wide has grown in numbers and scope of projects. There are significant international collaborative developments involving the sharing of ideas and software. The problem ...
Keyphrases
knowledge acquisition architecture theoretical study knowledge representation research community knowledge acquisition system boose gaines principled fashion knowledge acquisition community world-wide gaines boose existing tool acquisition methodology integrated knowledge acquisition system machine learning knowledge acquisition significant international collaborative development detailed architecture parallel cognitive common framework expert system past decade
