Understanding, building and using ontologies
International Journal of Human-Computer Studies
Model Driven Architecture: Applying MDA to Enterprise Computing
Model Driven Architecture: Applying MDA to Enterprise Computing
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Semantic Management of Middleware (Semantic Web and Beyond: Computing for Human Experience)
Semantic Management of Middleware (Semantic Web and Beyond: Computing for Human Experience)
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
Lifting metamodels to ontologies: a step to the semantic integration of modeling languages
MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
Model typing for improving reuse in model-driven engineering
MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems
Semantic annotations for modelling language interoperability
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Graph transformations for evolving domain knowledge
ICGT'12 Proceedings of the 6th international conference on Graph Transformations
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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.