| Title | DOPA: A data-driven and ontology-based method for ad hoc process awareness in web information systems |
| Authors | Li, Meimei Li, Hongyan Tang, Lv-An Qiu, Baojun |
| Affiliation | National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, 100871, China |
| Issue Date | 2006 |
| Citation | 7th International Conference on Web Information Systems Engineering, WISE 2006.Wuhan, China,4255 LNCS(114-125). |
| 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 ontologybased 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. ? Springer-Verlag Berlin Heidelberg 2006. |
| URI | http://hdl.handle.net/20.500.11897/294980 |
| ISSN | 9783540481058 |
| Indexed | EI |
| Appears in Collections: | 信息科学技术学院 机器感知与智能教育部重点实验室 |
