Incomplete Information in Relational Databases
Journal of the ACM (JACM)
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
Efficient evaluation of queries in a mediator for WebSources
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
Flexible Relation: An Approach for Integrating Data from Multiple, Possibly Inconsistent Databases
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
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
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Temporal Data and the Relational Model
Temporal Data and the Relational Model
Computing consistent query answers using conflict hypergraphs
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Data exchange: getting to the core
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
A cost-based model and effective heuristic for repairing constraints by value modification
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
AReNA: adaptive distributed catalog infrastructure based on relevance networks
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Database repairing using updates
ACM Transactions on Database Systems (TODS)
Consistent query answering in databases
ACM SIGMOD Record
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Model management 2.0: manipulating richer mappings
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Truth discovery with multiple conflicting information providers on the web
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Repair checking in inconsistent databases: algorithms and complexity
Proceedings of the 12th International Conference on Database Theory
Consistent query answering under primary keys: a characterization of tractable queries
Proceedings of the 12th International Conference on Database Theory
Active Integrity Constraints for Database Consistency Maintenance
IEEE Transactions on Knowledge and Data Engineering
Consistent query answers in the presence of universal constraints
Information Systems
Data fusion: resolving data conflicts for integration
Proceedings of the VLDB Endowment
Integrating conflicting data: the role of source dependence
Proceedings of the VLDB Endowment
Truth discovery and copying detection in a dynamic world
Proceedings of the VLDB Endowment
Querying and repairing inconsistent numerical databases
ACM Transactions on Database Systems (TODS)
Data Integration at Scale: From Relational Data Integration to Information Ecosystems
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Beauty and the beast: the theory and practice of information integration
ICDT'07 Proceedings of the 11th international conference on Database Theory
Consistent query answers on numerical databases under aggregate constraints
DBPL'05 Proceedings of the 10th international conference on Database Programming Languages
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Historical data reports on numerous events for overlapping time intervals, locations, and names. As a result, it may include severe data conflicts caused by database redundancy that prevent researchers from obtaining the correct answers to queries on an integrated historical database. In this paper, we propose a novel conflict-aware data fusion strategy for historical data sources. We evaluated our approach on a large-scale data warehouse that integrates historical data from approximately 50,000 reports on US epidemiological data for more than 100 years. We demonstrate that our approach significantly reduces data aggregation error in the integrated historical database.