DOPA: a data-driven and ontology-based method for ad hoc process awareness in web information systems

Authors:
Meimei Li;Hongyan Li;Lv-an Tang;Baojun Qiu
Affiliations:
National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, P.R. China
Venue:
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Year:
2006

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Abstract

The knowledge in Web Information Systems (WISs) makes that business process can not be described by a fixed model. Due to not integrating with domain knowledge seamlessly, traditional workflow management technology can not manage the ad hoc process very well. In order to solve that problem, we propose a data-driven and ontology-based method to support process awareness. Using an ontology-based model we integrate domain knowledge and WIS structure into process. A set of reasoning rules are designed to regulate the task transfer. Learning is done from the cases to help users make decision. A smart tool used for ontology building and WIS generation is developed and we prove the feasibility of this method in a real Web-based application.