Database Management Systems
What You Always Wanted to Know About Datalog (And Never Dared to Ask)
IEEE Transactions on Knowledge and Data Engineering
Measuring inconsistency in knowledgebases
Journal of Intelligent Information Systems
On Simplification of Database Integrity Constraints
Fundamenta Informaticae
Modeling, Measuring and Monitoring the Quality of Information
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
Toward a uniform cause-based approach to inconsistency-tolerant database semantics
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Inconsistency-Tolerant Integrity Checking
IEEE Transactions on Knowledge and Data Engineering
SDKB'10 Proceedings of the 4th international conference on Semantics in data and knowledge bases
New measures for maintaining the quality of databases
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
| Hi-index | 0.00 |
The quality of the information provided by databases can be captured by integrity constraints. Thus, violated cases of constraints may serve as a basis for measuring the quality of given database states. A quality metric with the potential of more accuracy is obtained by measuring the causes, i.e., data that are responsible for constraint violations. Such measures also serve for controlling quality impairment across updates.