Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
FollowMe: On Research of Pluggable Infrastructure for Context-Awareness
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Fast and Efficient Context-Aware Services (Wiley Series on Communications Networking & Distributed Systems)
Toward Dynamic Adoption for a User's Situation Information in a Context-Aware Workflow System
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Context-aware workflow management
ICWE'07 Proceedings of the 7th international conference on Web engineering
A ubiquitous workflow service framework
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Two Dependency Modeling Approaches for Business Process Adaptation
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Petri net-based context modeling for context-aware systems
Artificial Intelligence Review
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In many domains such as health care or catastrophe management workflows are used to coordinate complex activities. Context-awareness plays an important role to dynamically react on new situations in such scenarios. Changes in context often require structural changes of affected workflows. In current approaches of adaptive Workflow Management Systems (WfMS) context-sensitive adaptation at runtime of the workflow mostly has to be done manually. In this paper an approach for the context-sensitive adaptation of workflows as runtime is proposed. We introduce an adaptation layer which automatically calculates and semi-automatically executes the necessary workflow adaptations. It interacts with a context service to subscribe to context changes and an adaptive WfMS to implement the workflow adaptation. With this system support reaction and adaptation times and therewith the costs for workflow adaptation can be significantly decreased compared to the manual approaches. In addition, it is possible to trace which context information caused which adaptation and thus, reuse of adaptation decisions is possible.