Abstract
Government agencies are the largest owners of knowledge assets such as regulations, documents, forms. To build a knowledge-based system (KBS) for e-government has proved to be an effective way to enhance the efficiency of handling governmental services. However, few efforts are made to address automatic reasoning of knowledge-intensive tasks within e-government processes. For this purpose, we present an approach to building an e-government KBS by using the CommonKADS, a knowledge-engineering methodology, and semantic web technologies (OWL, SWRL, OWL-S), with the aiming of automatically solving knowledge-intensive tasks within e-governmental services. Our experiences show that the CommonKADS is crucial to the analysis and identification of knowledge-intensive tasks within government processes, whereas the semantic web technologies enable the refinement of domain ontologies, domain rules and task methods.
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© 2006 Springer-Verlag Berlin Heidelberg
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Yang, D., Tong, L., Ye, Y., Wu, H. (2006). Applying CommonKADS and Semantic Web Technologies to Ontology-Based E-Government Knowledge Systems. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_34
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DOI: https://doi.org/10.1007/11836025_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38329-1
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