Data Semantics Management, Volume 1, Rationale, Requirements, and Architecture

This volume justifies why accomplishing data semantics management is so critical to the overall success of data interoperability and shared data. The book identifies and describes the two error classes that prevent data interoperability and sharing, and each chapter concludes with an extensive set of questions and exercises.