Year
2003
Season
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.
Suggested Citation
Dembowski, John S., "dbUNiFier: A Framework for Automated Unification of Textual Data in Multiple Remote Data Sources" (2003). UNF Graduate Theses and Dissertations. 366.
https://digitalcommons.unf.edu/etd/366