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The integration of large systems remains problematic§in spite of advances in composite services§approaches. Current composite services approaches can§effectively address only the integration of§mechanistic processes. Processes with human§interaction, abundant in large systems, are§integrated in an ad hoc manner. As a result, a§process gap occurs between user needs and implemented§systems. The lack of support for human interaction§with processes in large systems is referred to as the§composite process-personalization (CPP) challenge. An§architecture framework is presented that can§systematically address the lack of CPP in current§composite services approach. The framework is§validated with two case studies, one in the§biomedical informatics domain.
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