The Classification of Structured Knowledge Objects
DOI:
https://doi.org/10.7152/acro.v4i1.12618Abstract
This article presents the automation of a classification method applicable on graph-described knowledge objects. We need graphs to describe knowledge structures in a computer, but they imply a very heavy computational overhead in order to be compared and classified. Simplification heuristics have to be enforced. Such heuristics imply that the classification structure becomes less semantically significant since less analysis is actually done in order to produce it. This paper deals with the problems related to graph classification, and seeks solutions to that effect. Thus it advocates synergism among the different aspects ofclassification research.Downloads
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1993-10-25
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