Matching Attributes Across Overlapping Heterogeneous Data Sources Using Mutual Information

作者：Zhao Huimin^*

来源：Journal of Database Management, 2010, 21(4): 91-110.

DOI：10.4018/jdm.2010100105

• Attribute Correspondence
• Attribute Matching
• Heterogeneous Databases
• Information Theory
• Mutual Information

Identifying matching attributes across heterogeneous data sources is a critical and time-consuming step in integrating the data sources. In this paper, the author proposes a method for matching the most frequently encountered types of attributes across overlapping heterogeneous data sources. The author uses mutual information as a unified measure of dependence on various types of attributes. An example is used to demonstrate the utility of the proposed method, which is useful in developing practical attribute matching tools.

• 出版日期2010-12