Advances in Database Systems

Object Relationship Notation (ORN) for Database Applications

Enhancing the Modeling and Implementation of Associations

Authors: Ehlmann, Bryon K.

  • Provides unique association patterns that help make database modeling easier and more exact
  • Unique ORN notation closes the gap between database modeling and definition, thus improving database development productivity
  • Describes Web-accessible tools that allow databases to be modeled using ORN and implemented using automatic code generation that adds ORN support to Microsoft SQL Server and Progress Object Store
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eBook $119.00
price for USA
  • ISBN 978-0-387-09554-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $159.00
price for USA
  • ISBN 978-0-387-09553-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4419-3493-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Conceptually, a database consists of objects and relationships. Object Relationship Notation (ORN) is a simple notation that more precisely defines relationships by combining UML multiplicities with uniquely defined referential actions.

This volume shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus more productively develop database applications. For the database developer, it presents many examples of relationships modeled using ORN-extended class diagrams and shows how these relationships are easily mapped to an ORN-extended SQL or Object DDL. For the DBMS developer, it presents the specifications and algorithms needed to implement ORN in a relational and object DBMS. 

This book also describes tools that can be downloaded or accessed via the Web.  These tools allow databases to be modeled using ORN and implemented using automatic code generation that adds ORN support to Microsoft SQL Server and Progress Object Store.

Object Relationship Notation (ORN) for Database Applications:  Enhancing the Modeling and Implementation of Associations is written for research scientists, research libraries, professionals, and advanced-level students in computer science.

 

Reviews

From the reviews:

“This book provides a comprehensive reference for Object Relationship Notation (ORN), a declarative extension that adds referential actions to UML multiplicities for the conceptual modeling of relationships in database applications. The book is intended as a text for a broad audience including researchers, developers of DBMSs and data modeling tools, database practitioners, and students. … Throughout this book many examples are provided and allow for a very good understanding of the covered material. … To summarize, I recommend this book as a reference for ORN.” (Gottfried Vossen, Zentralblatt MATH, Vol. 1185, 2010)

Table of contents (12 chapters)

Buy this book

eBook $119.00
price for USA
  • ISBN 978-0-387-09554-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $159.00
price for USA
  • ISBN 978-0-387-09553-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4419-3493-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Object Relationship Notation (ORN) for Database Applications
Book Subtitle
Enhancing the Modeling and Implementation of Associations
Authors
Series Title
Advances in Database Systems
Series Volume
39
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-09554-7
DOI
10.1007/978-0-387-09554-7
Hardcover ISBN
978-0-387-09553-0
Softcover ISBN
978-1-4419-3493-2
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XXII, 246
Number of Illustrations and Tables
173 b/w illustrations
Topics