Abstract
Ontology-based case retrieval system, the efficiency of case retrieval will increase as the number of cases continue to lower. In this paper, a multi-dimensional case retrieval optimization algorithm, the algorithm through the multi-dimensional case dimensionality reduction into clusters of two-dimensional space, using a two-dimensional spatial clustering to represent a collection of case, and this two-dimensional spatial clustering to establish the R-tree spatial index, by the two retrieval methods to the multidimensional case retrieval. Proved that the method not only improves the accuracy of case retrieval, but also greatly improve the efficiency of case retrieval.
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