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2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops
Learning Transformation Rules from Transformation Examples: An Approach Based on Relational Concept Analysis
Vitória, Brazil
October 25-October 29
ISBN: 978-0-7695-4164-8
| ASCII Text | x | ||
| Xavier Dolques, Marianne Huchard, Clémentine Nebut, Philippe Reitz, "Learning Transformation Rules from Transformation Examples: An Approach Based on Relational Concept Analysis," 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops, pp. 27-32, 2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/EDOCW.2010.32, author = {Xavier Dolques and Marianne Huchard and Clémentine Nebut and Philippe Reitz}, title = {Learning Transformation Rules from Transformation Examples: An Approach Based on Relational Concept Analysis}, journal ={2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops}, volume = {0}, year = {2010}, isbn = {978-0-7695-4164-8}, pages = {27-32}, doi = {http://doi.ieeecomputersociety.org/10.1109/EDOCW.2010.32}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops TI - Learning Transformation Rules from Transformation Examples: An Approach Based on Relational Concept Analysis SN - 978-0-7695-4164-8 SP27 EP32 A1 - Xavier Dolques, A1 - Marianne Huchard, A1 - Clémentine Nebut, A1 - Philippe Reitz, PY - 2010 KW - Model Driven Engineering KW - Formal Concept Analysis KW - Model Transformation VL - 0 JA - 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EDOCW.2010.32
In Model Driven Engineering (MDE), model transformations are basic and primordial entities, thus easing their design and implementation is an important issue. A quite recently proposed way to create model transformations consists in deducing a transformation from examples of transformed models. Examples are easier to write than a transformation program and are often already available. We propose in this paper a method based on a machine learning method of the lattice domain, the Relational Concept Analysis, and an implementation of this method.
Index Terms:
Model Driven Engineering, Formal Concept Analysis, Model Transformation
Citation:
Xavier Dolques, Marianne Huchard, Clémentine Nebut, Philippe Reitz, "Learning Transformation Rules from Transformation Examples: An Approach Based on Relational Concept Analysis," edocw, pp.27-32, 2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2010
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