A conceptual modeling and execution framework for process based scientific applications
Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience
Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
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This paper presents a model driven development method that provides integral support for knowledge intensive processes in clinical applications. The method is based on process models, which are capable to support knowledge intensive processes. The necessary modeling artifacts are created and afterwards integrated in the deployed process modeling method, using our model driven development approach. These so called process associated knowledge rules allow for the context sensitive knowledge retrieval during process execution.