Relative information capacity of simple relational database schemata
SIAM Journal on Computing
A formal view integration method
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
View Integration: A Step Forward in Solving Structural Conflicts
IEEE Transactions on Knowledge and Data Engineering
Correct Schema Transformations
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Integration of Heterogeneous Object Schemas
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
View integration and cooperation in databases, data warehouses and web information systems
Journal on Data Semantics IV
A conceptual justification for model transformations
APCCM '12 Proceedings of the Eighth Asia-Pacific Conference on Conceptual Modelling - Volume 130
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One of the challenges in practical information system development is to find suitable methods for schema integration. Schema integration aims at replacing a set of existing schemata by a single new one. In this case there is a need to guarantee that with respect to information capacity the new schema dominates or is equivalent to the old ones. We develop formal transformation rules for schema integration. These rules rely on the Higher-order Entity-Relationship model and its theory of schema equivalence and dominance. The rules are embedded in a pragmatic method telling how they should be applied for integration. The method has been applied to various schemata of realistic size.