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The Carolina Big-Data Group

Data Semantics Revisited

March 4, 2005

John Mylopoulos
University of Toronto

The problem of data semantics is establishing and maintaining a correspondence between a data source (e.g., a database of an XML document) and its intended subject matter. We review the long history of the problem in Databases, and contrast it with current work on the Semantic Web. We then propose two new directions for research and sketch some open questions. This is joint work with Alex Borgida (Rutgers University), published in Borgida, A., Mylopoulos, J., Data Semantics Revisited, Proceedings VLDB Workshop on the Semantic Web and Databases (SWDB-04), Toronto, August 2004, Springer-Verlag LNCS.