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Research of knowledge reduction based on rough set and attribute union of semantic web

机译:基于粗糙集和语义网属性并集的知识约简研究

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摘要

The process for obtaining knowledge is easy to get a lot of redundant information. So rough set theory and attribute union are used to reduce the attribute and attribute value of semantic web together. The nuclear of attribute and attribute value are found at the same time. Finally, the minimum reduction of attribute will be got.
机译:获取知识的过程很容易获得大量冗余信息。因此,粗糙集理论和属性联合用于减少语义网的属性和属性值。同时发现属性和属性值的核。最终,将获得属性的最小约简。

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