A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Automated resolution of semantic heterogeneity in multidatabases
ACM Transactions on Database Systems (TODS)
Object orientation in multidatabase systems
ACM Computing Surveys (CSUR)
Schema integration for multidatabases using the unified relational and object-oriented model
CSC '95 Proceedings of the 1995 ACM 23rd annual conference on Computer science
A Methodology for Integration of Heterogeneous Databases
IEEE Transactions on Knowledge and Data Engineering
ViewSystem: Integrating Heterogeneous Information Bases by Object-Oriented Views
Proceedings of the Sixth International Conference on Data Engineering
A Structure Based Schema Integration Methodology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Integration Workbench: Integrating Schema Integration Tools
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
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In the process of developing federated database systems, one of the main tasks is integrating various component database schemas. Several methodologies for integrating component schemas can be found in the literature. These methodologies are criticized for being very human labor intensive, for demanding extensive global DBA knowledge, for the difficulty in determining semantically similar objects, and for the difficulty in maintaining the global schema. We present a new methodology for integrating heterogeneous databases using a global schema. It avoids the shortcomings of the methodologies reported in the literature and offers its own advantages. First, missing relationships among access terms do exist naturally in the taxonomy and need to manually derive them no longer exists. Second, semantic knowledge of global objects is derived automatically. Finally, automatic knowledge mapping is achieved.