Collecting and presenting the latest research and development results from the leading researchers in the field of industrial database modeling, Database Modeling for Industrial Data Management: Emerging Technologies and Applications provides a single record of current research and practical applications in industrial database modeling. This book discusses the major aspects of databases for industry: data modeling, database models, and database applications in information systems.
Readers of Database Modeling for Industrial Data Management: Emerging Technologies and Applications will gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.
This book, which consists of 11 chapters, is organized into two major sections. The first section discusses the issues of industrial databases and applications in the first nine chapters. The next two chapters covering the data modeling issue in generic databases comprise the second section. First of all, we take a look at the problems of the industrial databases and applications.
Databases are designed to support data storage, processing, and retrieval activities related to data management, and database systems are the key to implementing engineering information modeling. But some engineering requirements challenge current mainstream databases, which are mainly used for business applications, and promote their evolvement. Ma tries to identify the requirements for engineering information modeling and then investigates the satisfactions of current database models to these requirements at two levels: conceptual data models and logical database models. Also, the relationships among the conceptual data models and the logical database models for engineering information modeling are presented as viewed from database conceptual design.
About the Author
Dr. Zongmin Ma received the Ph.D. degree from the City University of Hong Kong in 2001 and is currently a Full Professor in College of Information Science and Engineering at Northeastern University, China. His current research interests include intelligent database systems, knowledge management, semantic Web and XML, life science data management, e-learning systems, intelligent planning and scheduling, decision making, engineering database modeling, and enterprise information systems. Dr. Ma has published over 40 papers in international journals, conferences, edited books and encyclopedias in these areas since 1998.
