Physical Sciences and Mathematics Commons^™

Dbunifier: A Framework For Automated Unification Of Textual Data In Multiple Remote Data Sources, John S. Dembowski

UNF Graduate Theses and Dissertations

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.