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QuERy

Authors :
Dmitri V. Kalashnikov
Hotham Altwaijry
Sharad Mehrotra
Source :
Proceedings of the VLDB Endowment. 9:120-131
Publication Year :
2015
Publisher :
Association for Computing Machinery (ACM), 2015.

Abstract

This paper explores an analysis-aware data cleaning architecture for a large class of SPJ SQL queries. In particular, we propose QuERy, a novel framework for integrating entity resolution (ER) with query processing. The aim of QuERy is to correctly and efficiently answer complex queries issued on top of dirty data. The comprehensive empirical evaluation of the proposed solution demonstrates its significant advantage in terms of efficiency over the traditional techniques for the given problem settings.

Details

ISSN :
21508097
Volume :
9
Database :
OpenAIRE
Journal :
Proceedings of the VLDB Endowment
Accession number :
edsair.doi...........857f35603c06e827d3eb4d9b526159ad
Full Text :
https://doi.org/10.14778/2850583.2850587