Semantic heterogeneity in distributed geographic databases
ACM SIGMOD Record
Outerjoin optimization in multidatabase systems
DPDS '90 Proceedings of the second international symposium on Databases in parallel and distributed systems
View generation based on equivalence framework in object-oriented multidatabase systems
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Model independent assertions for integration of heterogeneous schemas
The VLDB Journal — The International Journal on Very Large Data Bases
IEEE Transactions on Knowledge and Data Engineering
Efficient Query Processing in Integrated Multiple Object Databases with Maybe Result Certification
IEEE Transactions on Knowledge and Data Engineering
Semantic Conflicts and Solutions in Fuzzy Multidatabase Systems
DNIS '00 Proceedings of the International Workshop on Databases in Networked Information Systems
A Strategy for Decomposing Complex Queries in a Heterogeneous DDB
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Integrating heterogeneous data warehouses using XML technologies
Journal of Information Science
A Methodology for Schema Integration Using Concept Hierarchies
Integrated Computer-Aided Engineering
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Data integration in a distributed database refers to the production of union-compatible views for similar information expressed dissimilarly in different nodes. Such a facility is needed for location transparency and for easier formulation of global queries over the apparently incompatible data aggregated from different nodes. This paper examines the issues in data integration within a relational context, and proposes a solution based on special relational constructs which produce union-compatible relations. The advantages of this approach over others have also been discussed.