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Title
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The LLUNATIC data-cleaning framework
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Author
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Abstract
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| Data-cleaning (or data-repairing) is considered a crucial problem in many database-related tasks. It consists in making a database consistent with respect to a set of given constraints. In recent years, repairing methods have been proposed for several classes of constraints. However, these methods rely on ad hoc decisions and tend to hard-code the strategy to repair conflicting values. As a consequence, there is currently no general algorithm to solve database repairing problems that involve different kinds of constraints and different strategies to select preferred values. In this paper we develop a uniform framework to solve this problem. We propose a new semantics for repairs, and a chase-based algorithm to compute minimal solutions. We implemented the framework in a DBMSbased prototype, and we report experimental results that confirm its good scalability and superior quality in computing repairs. |
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Language
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English
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Source (journal)
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Proceedings of the VLDB Endowment
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Publication
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2013
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ISSN
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2150-8097
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DOI
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10.14778/2536360.2536363
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Volume/pages
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6
:9
(2013)
, p. 625-636
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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