Matching Attributes Across Overlapping Heterogeneous Data Sources Using Mutual Information

被引：3

作者：

Zhao, Huimin ^{[1
]}

机构：

[1] Univ Wisconsin Milwaukee, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA

来源：

JOURNAL OF DATABASE MANAGEMENT | 2010年 / 21卷 / 04期

关键词：

Attribute Correspondence; Attribute Matching; Heterogeneous Databases; Information Theory; Mutual Information; SEMANTIC-INTEGRATION; SCHEMA; CORRESPONDENCES; RETRIEVAL; DATABASES;

D O I：

10.4018/jdm.2010100105

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：91 / 110

页数：20

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