By Topic

Avenues to Flexible Data Integrity Checking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Decker, H. ; Ciudad Politecnica de la Innovacion, Inst. Tecnologico de Informatica, Valencia ; Martinenghi, D.

Traditional methods for integrity checking in relational or deductive databases heavily rely on the assumption that data have integrity before the execution of updates. In this way, as has always been claimed, one can automatically derive strategies to check, in an incremental way, whether data preserve their integrity after the update. On the other hand, this consistency assumption greatly reduces applicability of such methods, since it is most often the case that small parts of a database do not comply with the integrity constraints, especially when the data are distributed or have been integrated from different sources. In this paper, we revisit integrity checking from an inconsistency-tolerant viewpoint. We show that most methods for integrity checking (though not all) are still applicable in the presence of inconsistencies and may be used to guarantee that the satisfied instances of the integrity constraints will continue to be satisfied after the update

Published in:

Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on

Date of Conference:

0-0 0