Year of Publication

2003

Season of Publication

Spring

Paper Type

Master's Thesis

College

College of Computing, Engineering & Construction

Degree Name

Master of Science in Computer and Information Sciences (MS)

Department

Computing

First Advisor

Dr. Behrooz K. Seyed-Abbassi

Second Advisor

Dr. Yap S. Chua

Third Advisor

Dr. Sherif A. Elfayoumy

Department Chair

Dr. Judith L. Solano

College Dean

Dr. Neal S. Coulter

Abstract

Over time, advances in database technology and utilization have resulted in a rapid increase in the number and types of data sources. Simultaneously, numerous methods of unifying these various data sources have emerged. Research has shown that a more comprehensive set of data attribute matches between multiple schemas can be detected by combining a number of the unification methodologies as opposed to using a single method. In this research project, a unification framework, dbUNiFier, has been proposed as an approach to allow for easy integration of both existing and future unification methods and data sources.

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