Consistent query answers in inconsistent databases
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Reliability of Answers to Queries in Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Methods for evaluating and creating data quality
Information Systems - Special issue: Data quality in cooperative information systems
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
ConQuer: efficient management of inconsistent databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
MYSTIQ: a system for finding more answers by using probabilities
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
U-DBMS: a database system for managing constantly-evolving data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Database repairing using updates
ACM Transactions on Database Systems (TODS)
Clean Answers over Dirty Databases: A Probabilistic Approach
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Efficient query evaluation on probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Improving data quality: consistency and accuracy
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
MCDB: a monte carlo approach to managing uncertain data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Dependencies revisited for improving data quality
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Proceedings of the VLDB Endowment
Minimal-change integrity maintenance using tuple deletions
Information and Computation
Consistent query answers in inconsistent probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
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Due to the ubiquitous data uncertainty in many emerging real applications, efficient management of probabilistic databases has become an increasingly important yet challenging problem. In particular, one fundamental task of data management is to identify those unreliable data in the probabilistic database that violate integrity constraints (e.g., functional dependencies), and then quickly resolve data inconsistencies. In this paper, we formulate and tackle an important problem of repairing inconsistent probabilistic databases efficiently by value modification. Specifically, we propose a repair semantic, namely possible-world-oriented repair (PW-repair), which partitions possible worlds into several disjoint groups, and repairs these groups individually with minimum repair costs. Due to the intractable result that finding such a PW-repair strategy is NP-complete, we carefully design a heuristic-based greedy approach for PW-repair, which can efficiently obtain an effective repair of the inconsistent probabilistic database. Through extensive experiments, we show that our approach can achieve the efficiency and effectiveness of the repair on inconsistent probabilistic data.