A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
A model for compound type changes encountered in schema evolution
ACM Transactions on Database Systems (TODS)
The Clio project: managing heterogeneity
ACM SIGMOD Record
Database intergration using neural networks: implementation and experiences
Knowledge and Information Systems
System-Guided View Integration for Object-Oriented Databases
IEEE Transactions on Knowledge and Data Engineering
View Integration: A Step Forward in Solving Structural Conflicts
IEEE Transactions on Knowledge and Data Engineering
A System for Approximate Tree Matching
IEEE Transactions on Knowledge and Data Engineering
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
Uniform Techniques for Deriving Similarities of Objects and Subschemes in Heterogeneous Databases
IEEE Transactions on Knowledge and Data Engineering
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Multi-User View Integration System (MUVIS): An Expert System for View Integration
Proceedings of the Sixth International Conference on Data Engineering
Database Schema Matching Using Machine Learning with Feature Selection
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Autoplex: Automated Discovery of Content for Virtual Databases
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
On schema matching with opaque column names and data values
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Using transformations to improve semantic matching
Proceedings of the 2nd international conference on Knowledge capture
Instance-based attribute identification in database integration
The VLDB Journal — The International Journal on Very Large Data Bases
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Information Systems - Special issue on web data integration
Semantic enrichment for improving systems interoperability
Proceedings of the 2004 ACM symposium on Applied computing
The Delphi method as a research tool: an example, design considerations and applications
Information and Management
Putting context into schema matching
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
An Exploratory Study of Database Integration Processes
IEEE Transactions on Knowledge and Data Engineering
Schema Matching Using Interattribute Dependencies
IEEE Transactions on Knowledge and Data Engineering
Theories of meaning in schema matching: An exploratory study
Information Systems
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Database integration is an important process in information systems development, maintenance, and evolution. Schema matching, the identification of data elements that have the same meaning, is a critical step to ensure the success of database integration. Much research has been devoted to developing matching heuristics. If these heuristics are to be useful and acceptable, they must meet the expectations of their users. This paper presents an exploratory Delphi study that investigates what information is used by professionals for schema matching.