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
Committee Chairperson
Dr. Behrooz K. Seyed-Abbassi
Second Advisor
Dr. Yap S. Chua
Rights Statement
http://rightsstatements.org/vocab/InC/1.0/
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