Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Ontology Matching
Semi-automatic model integration using matching transformations and weaving models
Proceedings of the 2007 ACM symposium on Applied computing
Semi-automatic model integration using matching transformations and weaving models
Proceedings of the 2007 ACM symposium on Applied computing
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
GeRoMeSuite: a system for holistic generic model management
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Metamodel Matching for Automatic Model Transformation Generation
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Different models for model matching: An analysis of approaches to support model differencing
CVSM '09 Proceedings of the 2009 ICSE Workshop on Comparison and Versioning of Software Models
Managing Model Adaptation by Precise Detection of Metamodel Changes
ECMDA-FA '09 Proceedings of the 5th European Conference on Model Driven Architecture - Foundations and Applications
GeRoMe: a generic role based metamodel for model management
Journal on data semantics VIII
MatchBox: combined meta-model matching for semi-automatic mapping generation
Proceedings of the 2010 ACM Symposium on Applied Computing
Metamodel matching based on planar graph edit distance
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
A survey of schema-based matching approaches
Journal on Data Semantics IV
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During the last decades data integration has been a challenge for applications processing multiple heterogeneous data sources. It has been faced across the domains of schemas, ontologies, and metamodels, inevitably imposing the need for mapping specifications. Support for the development of such mappings has been researched intensively, producing matching systems that automatically propose mapping suggestions. Since an overall relation between these systems is missing, we present a comparison and overview of 15 systems for schema, ontology, and metamodel matching. Thereby, we pursue a structured analysis of applied state-of-the art matching techniques and the internal models of matching systems. The result is a comparison of matching systems, highlighting their commonalities and differences in terms of matching techniques and used information for matching, demonstrating significant similarities between the systems. Based on this, our work also identifies possible knowledge sharing between the domains, e. g. by describing techniques adoptable from another domain.