Provided by: Vienna University of Technology
Topic: Data Management
Date Added: Jun 2014
Modeling and analyzing Inter-Organizational business Processes (IOPs) is complicated substantially by heterogeneous process-modeling languages (e.g., surface vs. analysis languages) as well as by their inherent properties of loose coupling and local control (views). On top, multiple concerns must be addressed when modeling and analyzing IOPs, such as process data, behavior, distribution, and resource management. Whereas significant advances have been accomplished by the research community to model and analyze IOPs within the boundaries of a subset of these concerns, a holistic approach that enables a unified view across the strongly intermingled IOP concerns is missing.