The improvement in efficiency of governmental administrative processes is a key to successful application of e-government. Workflow technology offers such a mean to realize automation of business processes. However, it is inappropriate to employ workflow technology alone for automating governmental processes that are typically of knowledge-intensive characteristics. In this paper, we study an approach of automating or semi-automating e-governmental processes by combining workflow technology and knowledge management, especially semantic web technology such as OWL, SWRL. The proposed approach can be classified into several parts: (1) The government processes are modeled using UML activity diagram with extended UML profiles. (2) The Problem-Solving-Method (PSM) tasks are represented with OWL-S. (3) The application ontology for applying for social security cards is developed in OWL. 4) Based on the proposed approach, the architecture of knowledge-driven e-governmental processes management system is presented and a prototype system is implemented using workflow engines, Jena and JESS. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Dong, Y., Lixin, T., Yan, Y., & Hongwei, W. (2006). Supporting effective operation of e-governmental services through workflow and knowledge management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4255 LNCS, pp. 102–113). Springer Verlag. https://doi.org/10.1007/11912873_13
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