Infomaster: an information integration system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Consistent query answers in inconsistent databases
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information integration using logical views
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
The logic of knowledge bases
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Logic-based techniques in data integration
Logic-based artificial intelligence
Consistent Answers from Integrated Data Sources
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Quality-driven Integration of Heterogenous Information Systems
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Information Integration: The MOMIS Project Demonstration
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Answering XML Queries on Heterogeneous Data Sources
Proceedings of the 27th International Conference on Very Large Data Bases
Object Fusion in Mediator Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Query Answering in Information Systems with Integrity Constraints
Proceedings of the IFIP TC11 Working Group 11.5, First Working Conference on Integrity and Internal Control in Information Systems: Increasing the confidence in Information Systems
Answering Queries Using Views over Description Logics Knowledge Bases
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
On the decidability and complexity of query answering over inconsistent and incomplete databases
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Conflict Tolerant Queries in AURORA
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
A Logical Framework for Querying and Repairing Inconsistent Databases
IEEE Transactions on Knowledge and Data Engineering
Logic programs for consistently querying data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Query rewriting and answering under constraints in data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Data quality awareness: a case study for cost optimal association rule mining
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Data integration for the semantic web with full preferences
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
Querying a super-peer in a schema-based super-peer network
DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
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Dealing with inconsistencies is one the main challenges in data integration systems, where data stored in the local sources may violate integrity constraints specified at the global level. Recently, declarative approaches have been proposed to deal with such a problem. Existing declarative proposals do not take into account preference assertions specified between sources when trying to solve inconsistency. On the other hand, the designer of an integration system may often include in the specification preference rules indicating the quality of data sources. In this paper, we consider Local-As-View integration systems, and propose a method that allows one to assign formal semantics to a data integration system whose declarative specification includes information on source preferences. To the best of our knowledge, our approach is the first one to consider in a declarative way information on source quality for dealing with inconsistent data in Local-As-View integration systems.