Exception Handling in Workflow Systems |
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| Authors: | Zongwei Luo Amit Sheth Krys Kochut John Miller |
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| Affiliation: | (1) Large Scale Distributed Information System Lab, 415 GSRC, Computer Science Department, University of Georgia Athens, GA 30602, USA;(2) Large Scale Distributed Information System Lab, 415 GSRC, Computer Science Department, University of Georgia Athens, GA 30602, USA;(3) Large Scale Distributed Information System Lab, 415 GSRC, Computer Science Department, University of Georgia Athens, GA 30602, USA;(4) Large Scale Distributed Information System Lab, 415 GSRC, Computer Science Department, University of Georgia Athens, GA 30602, USA |
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| Abstract: | In this paper, defeasible workflow is proposed as a framework to support exception handling for workflow management. By using the  justified ECA rules to capture more contexts in workflow modeling, defeasible workflow uses context dependent reasoning to enhance the exception handling capability of workflow management systems. In particular, this limits possible alternative exception handler candidates in dealing with exceptional situations. Furthermore, a case-based reasoning (CBR) mechanism with integrated human involvement is used to improve the exception handling capabilities. This involves collecting cases to capture experiences in handling exceptions, retrieving similar prior exception handling cases, and reusing the exception handling experiences captured in those cases in new situations. |
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| Keywords: | case-based reasoning (CBR) context-dependent reasoning exception handling ontology workflow system |
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