Multidatabase Interoperability
Computer
Evidential support logic programming
Fuzzy Sets and Systems
Computer
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis
Readings in uncertain reasoning
Data manipulation in heterogeneous databases
ACM SIGMOD Record
Answering heterogeneous database queries with degrees of uncertainty
Distributed and Parallel Databases
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
IEEE Transactions on Knowledge and Data Engineering
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
Fuzzy Database Query Languages and Their Relational Completeness Theorem
IEEE Transactions on Knowledge and Data Engineering
Imprecise and Uncertain Information in Databases: An Evidential Approach
Proceedings of the Eighth International Conference on Data Engineering
Entity Identification in Database Integration
Proceedings of the Ninth International Conference on Data Engineering
Processing Queries Over Generalization Hierarchies in a Multidatabase System
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
Warehouse Creation-A Potential Roadblock to Data Warehousing
IEEE Transactions on Knowledge and Data Engineering
DIRECT: a system for mining data value conversion rules from disparate data sources
Decision Support Systems
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Decision Support with Imprecise Data for Consumers
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Conceptual Clustering of Heterogeneous GeneExpression Sequences
Artificial Intelligence Review
Knowledge discovery by probabilistic clustering of distributed databases
Data & Knowledge Engineering
Range search on multidimensional uncertain data
ACM Transactions on Database Systems (TODS)
Clustering Uncertain Data Via K-Medoids
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Integrating semantically heterogeneous aggregate views of distributed databases
Distributed and Parallel Databases
Incorporating domain knowledge and user expertise in probabilistic Tuple merging
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
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Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel [1] showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. In this paper, we show that uncertain information can also arise when the database integration process requires information not directly represented in the component databases, but can be obtained through some summary of data. We therefore propose an extended relational model based on Dempster-Shafer theory of evidence [2] to incorporate such uncertain knowledge about the source databases. The extended relation uses evidence sets to represent uncertainty in information, which allow probabilities to be attached to subsets of possible domain values. We also develop a full set of extended relational operations over the extended relations. In particular, an extended union operation has been formalized to combine two extended relations using Dempster's rule of combination. The closure and boundedness properties of our proposed extended operations are formulated. We also illustrate the use of extended operations by some query examples.