Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
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
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Towards Model Transformation Generation By-Example
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Model Transformation as an Optimization Problem
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Metamodel Matching for Automatic Model Transformation Generation
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Model-to-model transformations by demonstration
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
EDOCW '10 Proceedings of the 2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops
Generating transformation definition from mapping specification: application to web service platform
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
A survey of schema-based matching approaches
Journal on Data Semantics IV
Generation of operational transformation rules from examples of model transformations
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
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Model Based Transformation Example (MTBE) is a recent track of research aiming at learning a transformation from examples. In most MTBE processes, a transformation example is given in the form of a source model, a transformed model and links between source elements and the corresponding transformed elements. Building the links is done manually, which is a tedious task, while in many cases, they can be deduced from the examination of the source and transformed models, by using relevant attributes, like names or identifiers. We exploit this characteristic by proposing a semi-automatic matching operation, suitable for discovering matches between the source model and the transformed model. Our technique is inspired by and extends the Anchor-Prompt approach, and is based on the automatic discovery of pairs of anchors (pairs of elements for which there is a strong assumption of matching) to support the whole matching discovery. An implementation of the approach is provided for validation on a case study.