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Modelling Foundations and Applications

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Cover of 'Modelling Foundations and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Hierarchical Clustering of Metamodels for Comparative Analysis and Visualization
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    Chapter 2 Advanced Local Checking of Global Consistency in Heterogeneous Multimodeling
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    Chapter 3 Supporting the Linked Data Approach to Maintain Coherence Across Rich EMF Models
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    Chapter 4 Stress-Testing Centralised Model Stores
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    Chapter 5 Compositional Language Engineering Using Generated, Extensible, Static Type-Safe Visitors
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    Chapter 6 Modelling Foundations and Applications
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    Chapter 7 Example-Based Generation of Graphical Modelling Environments
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    Chapter 8 Associations in MDE: A Concern-Oriented, Reusable Solution
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    Chapter 9 Automated Metamodel/Model Co-evolution Using a Multi-objective Optimization Approach
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    Chapter 10 Modelling Foundations and Applications
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    Chapter 11 Isolating and Reusing Template Instances in UML
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    Chapter 12 MBF4CR: A Model-Based Framework for Supporting an Automated Cancer Registry System
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    Chapter 13 Metamodeling vs Metaprogramming: A Case Study on Developing Client Libraries for REST APIs
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    Chapter 14 Experiences with Model-Driven Engineering in Neurorobotics
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    Chapter 15 Modelling Foundations and Applications
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    Chapter 16 Understanding Uncertainty in Cyber-Physical Systems: A Conceptual Model
Attention for Chapter 3: Supporting the Linked Data Approach to Maintain Coherence Across Rich EMF Models
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Chapter title
Supporting the Linked Data Approach to Maintain Coherence Across Rich EMF Models
Chapter number 3
Book title
Modelling Foundations and Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-42061-5_3
Book ISBNs
978-3-31-942060-8, 978-3-31-942061-5

Jad El-Khoury, Cecilia Ekelin, Christian Ekholm


Andrzej Wąsowski, Henrik Lönn

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Professor 2 25%
Librarian 1 13%
Student > Master 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 2 25%
Economics, Econometrics and Finance 1 13%
Unknown 1 13%