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Exception Handling in Workflow Systems
Authors:Zongwei Luo  Amit Sheth  Krys Kochut  John Miller
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
Abstract:In this paper, defeasible workflow is proposed as a framework to support exception handling for workflow management. By using the ldquojustifiedrdquo 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.
Keywords:case-based reasoning (CBR)  context-dependent reasoning  exception handling  ontology  workflow system
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