First-order preference theories and their applications
First-order preference theories and their applications
ProbView: a flexible probabilistic database system
ACM Transactions on Database Systems (TODS)
The impact of poor data quality on the typical enterprise
Communications of the ACM
Preference structures and their numerical representations
Theoretical Computer Science
Preference queries in deductive databases
New Generation Computing
Data Quality for the Information Age
Data Quality for the Information Age
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 17th International Conference on Data Engineering
Approximate String Joins in a Database (Almost) for Free
Proceedings of the 27th International Conference on Very Large Data Bases
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
A survey of data provenance in e-science
ACM SIGMOD Record
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Improving data quality: consistency and accuracy
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Swoosh: a generic approach to entity resolution
The VLDB Journal — The International Journal on Very Large Data Bases
Quality-driven query answering for integrated information systems
Quality-driven query answering for integrated information systems
Tuning QoD in stream processing engines
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Quality-driven query processing techniques in the MOMIS integration system
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
A framework for data quality aware query systems
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Less is more: selecting sources wisely for integration
Proceedings of the VLDB Endowment
Data centric research at the University of Queensland
ACM SIGMOD Record
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The issue of data quality is gaining importance as individuals as well as corporations are increasingly relying on multiple, often external sources of data to make decisions. Traditional query systems do not factor in data quality considerations in their response. Studies into the diverse interpretations of data quality indicate that fitness for use is a fundamental criteria in the evaluation of data quality. In this paper, we present a 4 step methodology that includes user preferences for data quality in the response of queries from multiple sources. User preferences are modelled using the notion of preference hierarchies. We have developed an SQL extension to facilitate the specification of preference hierarchies. Further, we will demonstrate through experimentation how our approach produces an improved result in query response.