Titlebook: Business Process Management Workshops; BPM 2014 Internation Fabiana Fournier,Jan Mendling Conference proceedings 2015 Springer Internationa

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When Language Meets Language: Anti Patterns Resulting from Mixing Natural and Modeling Languageol-flow related information in natural language. In this paper, we aim at increasing the current understanding of mixing natural and modeling language and therefore exploratively investigate three process model collections from practice. As a result, we identify a set of nine anti patterns for mixing natural and modeling language.

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Context-Aware Programming for Hybrid and Diversity-Aware Collective Adaptive Systemscompute units to implement HDA-CASs that can be elastic. We call this type of HDA-CASs ..?(Hybrid Compute Unit-based HDA-CAS). We then discuss a meta-view of ..? that describes a ..? program. We analyze and present program features for ..? in four main different contexts.

含水層

Towards Cognitive BPM as the Next Generation BPM Platform for Analytics-Driven Business Processesrstanding of the state of affairs. We present a vision and a framework for a . where the knowledge management, user interaction and analytics are employed to dynamically assess and proactively adapt the process based on the results of data analytics and continuous learning from the actions taken.

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1865-1348 rlands, in conjunction with the 12th International Conference on Business Process Management, BPM 2014, in September 2014..The ten workshops comprised Process-oriented Information Systems in Healthcare (ProHealth 2014), Security in Business Processes (SBP 2014), Process Model Collections: Management

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MET4: Supporting Workflow Execution for Interdisciplinary Healthcare Teamsibe conceptual foundations of the system and present the system design combining multi-agent and ontology-driven paradigms. Finally, we present a prototype implementation of MET4 and illustrate operations of the prototype using an example involving chronic pain management in palliative care.

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Medien ? Kultur ? Kommunikationibe conceptual foundations of the system and present the system design combining multi-agent and ontology-driven paradigms. Finally, we present a prototype implementation of MET4 and illustrate operations of the prototype using an example involving chronic pain management in palliative care.