Enriching Organizational Models through Semantic Annotation

Abstract Semantic annotation of visual models is useful to provide a precise, formal meaning to model elements, thus making them more understandable to people, enabling a deeper analysis of requirements and automated reasoning. We present an approach for the enrichment of visual models of an organization, with annotations characterized by a semantics de- fined by an organized, structured source of knowledge. In order to carry out the semantic annotation a set of suggestions referring to the use of general and specific ontologies is presented. Moreover, we present a case study to validate the effectiveness of our approach.

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