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Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information

Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information

Huimin Zhao
Copyright: © 2012 |Pages: 21
ISBN13: 9781613504710|ISBN10: 1613504713|EISBN13: 9781613504727
DOI: 10.4018/978-1-61350-471-0.ch017
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MLA

Zhao, Huimin. "Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information." Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches, edited by Keng Siau, IGI Global, 2012, pp. 417-437. https://doi.org/10.4018/978-1-61350-471-0.ch017

APA

Zhao, H. (2012). Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information. In K. Siau (Ed.), Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches (pp. 417-437). IGI Global. https://doi.org/10.4018/978-1-61350-471-0.ch017

Chicago

Zhao, Huimin. "Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information." In Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches, edited by Keng Siau, 417-437. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-471-0.ch017

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Abstract

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.

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