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Object Relationship Notation (Orn) for Database Applications

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Object Relationship Notation (Orn) for Database Applications Cover

 

Synopses & Reviews

Publisher Comments:

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.  

Synopsis:

This unique book shows how ORN can be used in UML class diagrams and database definition languages (DDLs). This will allow the reader to better model and implement relationships and thus more productively develop database applications.

Table of Contents

Preface.- About Relationships and ORN.- Introduction.- Object Relationship Notation (ORN).- ORN Simulator: A Modeling Tool Where Associations Come Alive.- Association Patterns: Emerging from a Variety of Associations. - Comparing ORN to Similar Declarative Schemes. - Using ORN to Develop a Database.- ORN Additive: A Tool for Extending SQL Server with ORN.- Object Relater Plus (OR+): An ORN-Extended Object DBMS.- Mapping Database Models to DDLs: From ORN-Extended Class Diagrams to ORN-Extended DBMSs.- Association Semantics: Dealing with the Subtleties, Inconsistencies, and Ambiguities.- Adding ORN to the DBMS.- A Conceptual Implementation of ORN: Exploring Semantic Circularity and Ambiguity.- Adding ORN to the SQL Standard for RDBMSs.- Adding ORN to the ODMG Standard for ODMSs. - Bibliography.- Index.  

Product Details

ISBN:
9781441934932
Author:
Ehlmann, Bryon K.
Publisher:
Springer
Author:
Springer
Location:
Boston, MA
Subject:
Database Management - General
Subject:
DBMS
Subject:
Ehlmann
Subject:
ORN
Subject:
UML class diagram
Subject:
Associations.
Subject:
Data management
Subject:
data modeling
Subject:
Database design
Subject:
Databases
Subject:
Modeling
Subject:
OBJECTS
Subject:
Patterns
Subject:
Relationships
Subject:
Database management
Subject:
Data Mining and Knowledge Discovery
Subject:
Information storage and retrieval.
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computers-Reference - General
Subject:
Computer Science
Subject:
B
Subject:
Data mining
Subject:
Information storage and retrieva
Subject:
Computer Vision
Subject:
Artificial Intelligence
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2009
Series:
Advances in Database Systems
Series Volume:
39
Publication Date:
20101206
Binding:
TRADE PAPER
Language:
English
Pages:
268
Dimensions:
235 x 155 mm 407 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Networking » General

Object Relationship Notation (Orn) for Database Applications New Trade Paper
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$180.25 In Stock
Product details 268 pages Springer - English 9781441934932 Reviews:
"Synopsis" by , This unique book shows how ORN can be used in UML class diagrams and database definition languages (DDLs). This will allow the reader to better model and implement relationships and thus more productively develop database applications.
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