NDLI: Time-completeness trade-offs in record linkage using adaptive query processing

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Time-completeness trade-offs in record linkage using adaptive query processing

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Time-completeness trade-offs in record linkage using adaptive query processing

Content Provider	ACM Digital Library
Author	Guerrini, Giovanna Lengu, Roald Fernandes, Alvaro A. A. Mesiti, Marco Missier, Paolo
Abstract	Applications that involve data integration among multiple sources often require a preliminary step of data reconciliation in order to ensure that tuples match correctly across the sources. In dynamic settings such as data mashups, however, traditional offline data reconciliation techniques that require prior availability of the data may not be applicable. The alternative, performing similarity joins at query time, is computationally expensive, while ignoring the mismatch problem altogether leads to an incomplete integration. In this paper we make the assumption that, in some dynamic integration scenarios, users may agree to trade the completeness of a join result in return for a faster computation. We explore the consequences of this assumption by proposing a novel, hybrid join algorithm that involves a combination of exact and approximate join operators, managed using adaptive query processing techniques. The algorithm is optimistic: it can switch between physical join operators multiple times throughout query processing, but it only resorts to approximate join operators when there is statistical evidence that result completeness is compromised. Our experiments show that sensible savings in join execution time can be achieved in practice, at the expense of a modest reduction in result completeness.
Starting Page	851
Ending Page	861
Page Count	11
File Format	PDF
ISBN	9781605584225
DOI	10.1145/1516360.1516458
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-03-24
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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