Abstract
Model-driven software development facilitates faster and more flexible integration of information and communication systems. It divides system descriptions into models of different view points and abstraction levels. To effectively realize cross-organisational collaborations, it is an important prerequisite to exchange models between different modelling languages and tools. Knowledge is captured in model transformations, which are continuously adjusted to new modelling formats and tools. However, interoperability problems in modelling can hardly be overcome by solutions that essentially operate at syntactical level. This paper presents a novel approach using the capabilities of semantic technologies in order to improve cross-organisational modelling by automatic generation and evolution of model transformations.
This paper is a revised and extended version of [39].
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Roser, S., Bauer, B. (2008). Automatic Generation and Evolution of Model Transformations Using Ontology Engineering Space . In: Spaccapietra, S., et al. Journal on Data Semantics XI. Lecture Notes in Computer Science, vol 5383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92148-6_2
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DOI: https://doi.org/10.1007/978-3-540-92148-6_2
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