Applying CommonKADS and Semantic Web Technologies to Ontology-Based E-Government Knowledge Systems

  • Dong Yang
  • Lixin Tong
  • Yan Ye
  • Hongwei Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


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.


Domain Ontology Automatic Reasoning Knowledge Item Knowledge Asset Task Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dong Yang
    • 1
  • Lixin Tong
    • 1
  • Yan Ye
    • 1
  • Hongwei Wu
    • 1
  1. 1.Department of Industrial EngineeringShanghai Jiao Tong UniversityShanghaiChina

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