An integrity constraint for database systems containing embedded neural networks

2002 ◽  
Author(s):  
I. Millns ◽  
B. Eaglestone
Keyword(s):  
Neural Networks ◽  
Database Systems ◽  
Integrity Constraint

scholarly journals Deriving Triggers from Integrity Constraint Specifications in the Database Management Systems

10.14311/286 ◽  
2001 ◽  
Vol 41 (6) ◽  
Author(s):  
M. Badawy ◽  
K. Richta
Keyword(s):  
Database Management ◽  
Database Systems ◽  
Database System ◽  
Database Management Systems ◽  
Integrity Constraints ◽  
Management Systems ◽  
Integrity Constraint ◽  
Simple Rules

Supporting integrity constraints is essential for database systems. Integrity constraints are used to ensure that the data in a database complies with rules that have been set to establish accurate and acceptable information for a database. Triggers provide a very powerful and flexible means to realize effective constraint enforcing mechanisms. Implementing triggers based on constraint specifications follows some simple rules that are basically independent of a particular commercial database system. This paper gives these rules, which can be used to derive triggers from constraint specifications. A comparison of advantages of constraints and triggers is also given in this paper.

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