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Navigating in Process Model Collections: A New Approach Inspired by Google Earth

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Business Process Management Workshops (BPM 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 100))

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Abstract

In complex business environments, business processes (e.g., engineering processes in the automobile industry) may comprise hundreds up to thousands of process steps. Though typically captured in a process model (or a collection of process models), these processes are presented to process participants in a rather static manner, e.g., as simple drawings. However, to effectively support process enactment and to link processes with relevant information, enterprises crave for new ways of visualizing processes and for interacting with them. In particular, process models must be provided in an interactive, more dynamic manner, i.e., they must be both ”experiencable” and user-adequate from the perspective of the user. In this paper, we introduce a new process navigation concept for querying process model collections. Specifically, we pick up an existing navigation concept for complex information spaces, namely Google Earth, and apply it to business processes. Thereby, we distinguish between geographical and semantic zoom functions, introduce different process views and filter mechanisms, and discuss options to manually configure needed process visualizations.

This research has been done in the niPRO project funded by the German Federal Ministry of Education and Research (BMBF) under grant number 17102X10.

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Hipp, M., Mutschler, B., Reichert, M. (2012). Navigating in Process Model Collections: A New Approach Inspired by Google Earth. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28115-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-28115-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28114-3

  • Online ISBN: 978-3-642-28115-0

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