Object relationship notation (ORN) for database applications enhancing the modeling and implementation of associations /
Object Relationship Notation (ORN) is a simple notation that precisely defines relationships by combining UML multiplicities with defined referential actions. This title shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationshi...
Main Author: | Ehlmann, Bryon K. |
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Other Authors: | SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Dordrecht ; New York :
Springer,
©2009.
Dordrecht ; New York : [2009] |
Physical Description: |
1 online resource (xix, 246 pages) : illustrations. |
Series: |
Advances in database systems ;
39. |
Subjects: |
Summary: |
Object Relationship Notation (ORN) is a simple notation that precisely defines relationships by combining UML multiplicities with defined referential actions. This title shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus develop database applications. |
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Item Description: |
Includes bibliographical references (pages 237-240) and index. Object Relationship Notation (ORN) is a simple notation that precisely defines relationships by combining UML multiplicities with defined referential actions. This title shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus develop database applications. I About Relationships and ORN -- Object Relationship Notation (ORN) -- ORN Simulator -- Association Patterns -- Comparing ORN to Similar Declarative Schemes -- II Using ORN to Develop a Database System -- ORN Additive -- Object Relater (OR+) -- Mapping Database Models to DDLs -- Association Semantics -- III Adding ORN to a DBMS -- A Conceptual Implementation of ORN -- Adding ORN to the SQL Standard for RDBMSs -- Adding ORN to the ODMG Standard for ODMSs. University staff and students only. Requires University Computer Account login off-campus. |
Physical Description: |
1 online resource (xix, 246 pages) : illustrations. |
Bibliography: |
Includes bibliographical references (pages 237-240) and index. |
ISBN: |
9780387095547 0387095543 9780387095530 0387095535 |
Access: |
University staff and students only. Requires University Computer Account login off-campus. |