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
Issues and approaches of database integration
Communications of the ACM
Motif discovery without alignment or enumeration (extended abstract)
RECOMB '98 Proceedings of the second annual international conference on Computational molecular biology
Data & Knowledge Engineering
Data integration using similarity joins and a word-based information representation language
ACM Transactions on Information Systems (TOIS)
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
Uniform Techniques for Deriving Similarities of Objects and Subschemes in Heterogeneous Databases
IEEE Transactions on Knowledge and Data Engineering
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
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
Semi-Automatic, Semantic Discovery of Properties from Database Schemes
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
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
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Semantic enrichment for improving systems interoperability
Proceedings of the 2004 ACM symposium on Applied computing
Reviewing Software Diagrams: A Cognitive Study
IEEE Transactions on Software Engineering
Inference in Hidden Markov Models (Springer Series in Statistics)
Inference in Hidden Markov Models (Springer Series in Statistics)
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications)
Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications)
Developing and using interaction coding systems for studying groupware use
Human-Computer Interaction
Contextual factors in database integration: a Delphi study
ER'10 Proceedings of the 29th international conference on Conceptual modeling
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One of the central problems of database integration is schema matching, the identification of similar data elements in two or more databases or other data sources. Existing definitions of "similarity" in this context vary greatly. As a result, schema matching has given rise to large number of heuristics software tools. However, the empirical understanding of this process in humans is very limited, so little guidance can be offered to the further development of heuristics and tool. This paper presents an exploratory study of the similarity judgement process in humans, employing a process tracing methodology. The similarity judgements of twelve data integration professionals on a range of integration problems are recorded and analyzed. Implications for future empirical and applied research in this area are discussed.