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Using Semantically Annotated Models for Supporting Business Process Benchmarking

机译:使用语义注释模型来支持业务流程基准

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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.
机译:在本文中,我们描述了一种使用流程模型的语义注释来支持业务流程基准测试的方法。我们展示了语义注释如何通过在不修改原始建模语言的情况下将机器可处理的语义信息添加到现有过程模型中来支持过程基准数据的准备,进行语义分析以进行性能测量以及混淆模型中包含的信息以用于确保机密性。该方法已在ADOxx平台上实现,并应用于两个用例进行首次评估。

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