Nowadays enterprise models exist in a variety of types and are based mostly on graphical modeling languages, prominent examples being UML and BPMN. Model relations oftentimes are not made explicit and are hard to analyze. As a consequence, the information integration and interoperability potential of existing enterprise models cannot be exploited efficiently. This paper presents an approach, where based on annotations the model-contained information is made accessible for further processing. Multiple dimensions of the model (i.e. semantic and structural) are considered, allowing a comprehensive view on the model-contained information. Based on that, inter-model relations can be discovered and analyzed. © 2012 Springer-Verlag.
CITATION STYLE
Hahn, A., & El Haoum, S. (2012). Semantic and structural annotations for comprehensive model analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7567 LNCS, pp. 144–153). https://doi.org/10.1007/978-3-642-33618-8_22
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