Quality damage in databases can be measured by seizing extant inconsistency, i.e., by quantifying the amount of violation of integrity constraints. A repair is an update that reduces inconsistency and hence improves data quality. Repair checking finds out if a given update is a repair or not. Repair checking can be done by checking if the undo of the update increases the amount of integrity or not. To do so, sound measure-based integrity checking methods can be used. To do so well, the used methods should also be complete. Repair checking by integrity checking is an attractive alternative to conventional repair checking approaches. However, the completeness of measure-based integrity checking may be a problem, in general. We build on concepts, techniques and results as presented in the first author’s previous work.
CITATION STYLE
Decker, H., & Misra, S. (2016). Measure-based repair checking by integrity checking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9790, pp. 530–543). Springer Verlag. https://doi.org/10.1007/978-3-319-42092-9_40
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