Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
Detection, Simulation and Elimination of Semantic Anti-patterns in Ontology-Driven Conceptual Models
verfasst von : Giancarlo Guizzardi, Tiago Prince Sales
Erschienen in: Conceptual Modeling
Verlag: Springer International Publishing
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
The construction of large-scale reference conceptual models is a complex engineering activity. To develop high-quality models, a modeler must have the support of expressive engineering tools such as theoretically well-founded modeling languages and methodologies, patterns and anti-patterns and automated support environments. This paper proposes Semantic Anti-Patterns for ontology-driven conceptual modeling. These anti-patterns capture error prone modeling decisions that can result in the creation of models that allow for unintended model instances (representing undesired state of affairs). The anti-patterns presented here have been empirically elicited through an approach of conceptual models validation via visual simulation. The paper also presents a tool that is able to: automatically identify these anti-patterns in user’s models, provide visualization for its consequences, and generate corrections to these models by the automatic inclusion of OCL constraints.