Data-flow skeleton filled with activities driven workflow design

Authors:
Nanshan Du;Yiwen Liang;Li Zhao
Affiliations:
Wuhan University, Wuhan, China;Wuhan University, Wuhan, China;City University of Hong Kong, Shenzhen, China
Venue:
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Year:
2008

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Abstract

Using the same semantics on the same data is the basis of information sharing. Moreover, it is also the foundation of workflow cooperation and coordination. The data-flow of a workflow process should be focused on in workflow design. Prevalent workflow design methods are from functional perspective or both perspectives of functional and informational. The approach of Data-Flow Skeleton Filled with Activities(DFSFA) is proposed to construct a workflow process by automatically building a data-flow skeleton and then filling it with activities. DFSFA is easily understandable and the data-flow skeleton can be used as the foundation for cooperation and coordination among workflow processes. Data-flow skeleton can also be used as an evaluation criterion to identify a workflow process from others.