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An object-based approach to customizable workflow monitoring
Ngai-Weng Tang; Yain-Whar Si
2011-11
Conference NameIEEE International conference on intelligent computing and intelligent systems
Source PublicationProceedings of 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems
Pages98-103
Conference Date2011-11-18
Conference PlaceGuangzhou, China
Other Abstract

Monitoring is considered as one of the key functions in workflow management systems (WfMS). Monitoring provides users with the real-time information of the business processes which are being executed in a WfMS. Information collected for monitoring is usually used by the analysts for business process improvement as well as for decision making. In this paper we propose an object-based approach to workflow monitoring. In this approach, all basic elements in WfMS are divided into “Data Objects”. User can monitor the required information by combining simple data objects to form new complex objects. Specifically, fundamental data objects can be dynamically extended for monitoring complex business data. A SQL like query language is also developed to retrieve data objects for the monitoring functions. Based on the proposed approach, user can monitor the workflow status and other key performance indicators by defining different customizable views with various data objects.

KeywordWorkflow Monitoring Data Object Customized Views Key Performance Indicators
URLView the original
Language英語English
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology, University of Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Ngai-Weng Tang,Yain-Whar Si. An object-based approach to customizable workflow monitoring[C], 2011, 98-103.
APA Ngai-Weng Tang., & Yain-Whar Si (2011). An object-based approach to customizable workflow monitoring. Proceedings of 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems, 98-103.
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