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Where Does the Data Come From: Managing Data Integration With Source Tagging Capabilities (Classic Reprint) - Hardcover
Synopsis
Excerpt from Where Does the Data Come From: Managing Data Integration With Source Tagging Capabilities
Abstract Many important Management Support Systems require access to and seamless integration of multiple heterogeneous database systems. This paper studies heterogeneous database systems from the source perspective. It aims at addressing issues such as the following. (1) Where is the data from? (2) Which intermediate sources were used to arrive at that data? Specifically, it presents a polygen model for resolving these data source and intermediate source problems. The polygen model provides a precise characterization of the source tagging problem and a solution including a polygen algebra, a data - driven query translation mechanism, and the necessary and sufficient condition for source tagging. This model has been developed as a direct extension of the relational model to the multiple database setting with source tagging capabilities, thus it enjoys all of the strengths of the traditional relational model. Source knowledge is important for many reasons. It enables users to apply their own judgment to the credibility of the information. It enables users to rationalize and reconcile data inconsistencies. It enables system designers to develop access charge systems. It enables an application user to adjust data. And it enables a system to interpret data semantics more accurately. In sum, source tagging capabilities should be a required functionality for future heterogeneous database systems.
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About the Author
About the Editor:
Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.
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