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Contributions to Quality-Aware Online Query Processing

Laure Berti-Équille 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : For non-collaborative data sources, quality-aware query processing is difficult to achieve because the sources generally do not export data quality indicators. This paper presents a prospective work on the declaration of metadata describing data quality and on the adaptation of query processing for taking into account constraints on the quality of data and finding dynamically the best trade-off between the cost of the query and the quality of the result.
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Submitted on : Thursday, August 9, 2018 - 4:47:05 PM
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  • HAL Id : hal-01855685, version 2


Laure Berti-Équille. Contributions to Quality-Aware Online Query Processing. Bulletin of the Technical Committee on Data Engineering, IEEE Computer Society, 2006, 29 (2), pp.32-42. ⟨hal-01855685v2⟩



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