2012 | OriginalPaper | Buchkapitel
A Graph Transformation-Based Semantics for Deep Metamodelling
verfasst von : Alessandro Rossini, Juan de Lara, Esther Guerra, Adrian Rutle, Yngve Lamo
Erschienen in: Applications of Graph Transformations with Industrial Relevance
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Metamodelling is one of the pillars of model-driven engineering, used for language engineering and domain modelling. Even though metamodelling is traditionally based on a two-level approach, several researchers have pointed out limitations of this solution and proposed an alternative
deep
(also called
multi-level
) approach to obtain simpler system descriptions. However, deep metamodelling currently lacks a formalisation that can be used to explain fundamental concepts such as deep characterisation through potency and double linguistic/ontological typing. This paper provides different semantics for such fundamental concepts based on graph transformation and the Diagram Predicate Framework.