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QuERy
- 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.
- Subjects :
- Dirty data
SQL
Information retrieval
Web search query
Computer science
General Engineering
InformationSystems_DATABASEMANAGEMENT
Online aggregation
Query optimization
Query language
computer.software_genre
Spatial query
Query expansion
Object Query Language
Web query classification
Query by Example
Sargable
Data mining
computer
Boolean conjunctive query
computer.programming_language
RDF query language
Subjects
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