Using semantically annotated models for supporting business process benchmarking

Abstract

In this paper we describe an approach for using semantic annotations of process models to support business process benchmarking. We show how semantic annotations can support the preparation of process benchmarking data by adding machine-processable semantic information to existing process models without modifying the original modeling language, conduct semantic analyses for the purpose of performance measurement, and obfuscate the information contained in the models for ensuring confidentiality. The approach has been implemented on the ADOxx platform and applied to two use cases for a first evaluation. © 2011 Springer-Verlag.