Entity Relationship Approach, Er '93 pdf

Ramez Al-Masry (born October 20, 1950 in Giza, Egypt) is a renowned computer scientist and researcher in the field of database systems. He is also Professor and Associate Chair in the Department of Computer Science and Engineering at the University of Texas at Arlington, Arlington, Texas. Al-Masri is the author of “Basics of Database Systems” (with Shamkant Navath, published by Pearson, 7th edition, 2015). His book is considered one of the most pioneering books in the field of database systems in the world for 25 years. The current edition of the book is the seventh edition. The book has been translated into Spanish, German, French, Italian, Portuguese, Chinese, Korean, Greek, Basquenchen (Basque) and Arabic. His book is supported in India, Europe, South Africa, Australia and Southeast Asia and is also widely read in the United States, Canada and South America. Al-Masry has been working at the University of Texas at Arlington since 1990 and has supervised 16 Ph.D. and more than 200 theses and master’s projects. Al-Masry received his bachelor’s degree in electrical engineering (computers and automatic control) from Alexandria University, Alexandria, Egypt in 1972 and obtained his master’s and doctorate in Computer Science from Stanford University in Stanford, California, in 1980.

Entity Relationship Approach, Er '93 pdf by Ramez Elmasri

This volume contains the proceedings of the 12th International Conference of the Entity-Relationship Approach, held in Arlington, Texas in December 1993; it contains the revised versions of 42 papers selected for presentation at the conference from a total of 87 submissions. The volume presents many of the most important results on the ERA published since the predecessor conference ER '92. It is organized in sections on object-oriented models, query languages, applications of the ER model, knowledge-based modeling, data modeling, schema integration, reuse and reengineering, integrating ER and object-orientation, conceptual clustering, modeling time and data semantics.