Schema matching using neural network

You Li, Dongbo Liu, Weiming Zhang
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引用次数: 17

Abstract

Schema matching plays a key role in data integration, data warehouse and e-business. This paper introduces a schema matching method SMDD based on neural network. By analyzing the characteristics of data distribution, it automatically fulfills the task of schema matching. It can be used independently or as a supplement of other schema matching methods. SMDD can improve the accuracy of schema matching from the point of view of data contents.
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基于神经网络的模式匹配
模式匹配在数据集成、数据仓库和电子商务中起着关键作用。介绍了一种基于神经网络的模式匹配方法SMDD。通过分析数据分布的特点,自动完成模式匹配的任务。它可以独立使用,也可以作为其他模式匹配方法的补充。SMDD可以从数据内容的角度提高模式匹配的准确性。
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