A comparative analysis of methodologies for database schema integration
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ACM Transactions on Database Systems (TODS)
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ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
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PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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The VLDB Journal — The International Journal on Very Large Data Bases
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CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
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COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
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ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
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VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
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BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
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BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
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BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
Metadata management in a multiversion data warehouse
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Change management in large-scale enterprise information systems
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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Integration of heterogeneous databases requires that semantic differences between schemas are resolved by a process of schema transformation. Previously, we have developed a general framework to support the schema transformation process, consisting of a hypergraph-based common data model and a set of primitive schema transformations defined for this model. Higher-level common data models and primitive schema transformations for them can be defined in terms of this lower-level model. In this paper, we show that a key feature of our framework is that both primitive and composite schema transformations are automatically reversible. We show how these transformations can be used to automatically migrate or wrap data, queries and updates between semantically equivalent schemas.We also show how to handle transformations between non-equivalent but overlapping schemas.We describe a prototype schema integration tool that supports this functionality. Finally, we briefly discuss how our approach can be extended to more sophisticated application logic such as constraints, deductive rules, and active rules.