Title :
Quality-Based SQL: Specifying Information Quality in Relational Database Queries
Author :
Parssian, Amir ; Yeoh, William ; Mong Shan Ee
Abstract :
A Structured Query Language extension uses an estimator module to evaluate quality profiles that rate the accuracy and completeness of query results. Users receive information that matches their defined quality constraints and better serves their data needs.
Keywords :
SQL; quality control; query processing; relational databases; Structured Query Language; information quality; quality-based SQL; relational database queries; Computer languages; Data accuracy; Data models; Measurement; Medical diagnostic imaging; Quality of service; Query processing; Relational databases; QSQL; Quality-Based SQL; RDBMS; SQL; Structured Query Language; data accuracy and completeness; data analysis; enterprise databases; information quality; query processing; relational database management systems; relational databases;
DOI :
10.1109/MC.2015.264
