2015
DOI: 10.1007/978-3-319-15895-2_17
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Towards Location-Aware Process Modeling and Execution

Abstract: Business Process Management (BPM) has emerged as one of the abiding systematic management approaches in order to design, execute and govern organizational business processes. Traditionally, most attention within the BPM community has been given to studying controlow aspects, without taking other contextual aspects into account. This paper contributes to the existing body of work by focusing on the particular context of geospatial information. We argue that explicitly taking this context into consideration in t… Show more

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Cited by 3 publications
(3 citation statements)
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“…Finally, related to incorporating the modeling of context information like location in the process, the work in [38] represents a promising direction. In this work Petri nets are enriched with location constraints, and the semantic is extended to cope with this new dimension.…”
Section: Related Workmentioning
confidence: 99%
“…Finally, related to incorporating the modeling of context information like location in the process, the work in [38] represents a promising direction. In this work Petri nets are enriched with location constraints, and the semantic is extended to cope with this new dimension.…”
Section: Related Workmentioning
confidence: 99%
“…They presented five location-dependent process model patterns to show how location impacts business process modeling. Zhu et al also proposed a Petri net modeling mechanism, which incorporates location aspects and ways to constrain the execution of activities [3,2]. In another work of the same authors [4], they investigated how location impacts the primary logical relationships in a process control-flow.…”
Section: Introductionmentioning
confidence: 99%
“…These works focused on context description, paying no attention to adapt context to the business process. Some works [4,5] introduced context as constraints to business process modelling and ignore context timeliness. Lin X. et al [6] proposed context reasoning real-time scheduling algorithm based on freshness.…”
Section: Related Workmentioning
confidence: 99%