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Title |
Semantic Relation Based Exception Detection in Workflow Systems |
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Author |
Li Hai-bo, Zhan De-chen, Xu Xiao-fei |
| Citation |
Vol. 6 No. 2 pp. 160~165 |
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Abstract |
Due to foreseen or unforeseen situations, deviations of workflow processes from their specifications are unavoidable. To reduce exceptions at run-time, exceptions should be found out first. An approach to detect exceptional path of workflow is presented. The proposed method analyzes the semantic relations between business activities first, and then describes them as data dependency rules. Using these rules, as a kind of semantic supplement to workflow control rules, the given exception detection algorithm can search all anticipative paths of workflow; hence identify all exceptional paths. Without changing workflow schema, the semantic rules can help to avoid exceptional paths, so as to reduce the possibility of executing ineffectual business processes. In addition, the method keeps the rationality of business process logically. Finally, a practical example is given to explain the exception detection algorithm. |
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Keywords |
workflow, exception detection, semantic relation, data dependency rule, control rule |
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