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Semantic Interoperability for Enhancing Sharing and Learning through E-Government Knowledge-Intensive Portal Services

Author

Listed:
  • Ching-Chieh Kiu

    (Multimedia University, Malaysia)

  • Lai-Yung Yuen

    (The Hong Kong Polytechnic University, China)

  • Eric Tsui

    (The Hong Kong Polytechnic University, China)

Abstract

E-Government emerges from web sites that offer static information, documents and forms for employees and citizens, enquiries, and process automations to many types of stakeholders. Increasingly, different layers of government services are being consolidated into a knowledge portal, providing on time and online services. Such knowledge portals not only provide a platform for integrating applications and information from all government sources, but also provide platforms for knowledge sharing and learning to the public with the objective to improve the efficiency and the quality of E-Government processes and services. However, due to the heterogeneity of applications and information across different levels of government agencies, a significant amount of work is needed to re-configure such applications and services into a new platform. However, semantics are often deficient, which results in problems establishing effective knowledge sharing and learning in E-Government. This paper confers how knowledge intensive portals can be used for enhancing sharing and learning in E-Government. The authors discuss innovative information on how the Semantic Web and Web 2.0 technologies can be applied in providing interoperability to leverage knowledge sharing and learning activities.

Suggested Citation

  • Ching-Chieh Kiu & Lai-Yung Yuen & Eric Tsui, 2010. "Semantic Interoperability for Enhancing Sharing and Learning through E-Government Knowledge-Intensive Portal Services," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 1(2), pages 39-48, April.
  • Handle: RePEc:igg:jkss00:v:1:y:2010:i:2:p:39-48
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    Cited by:

    1. Chang, Victor & Walters, Robert John & Wills, Gary, 2013. "The development that leads to the Cloud Computing Business Framework," International Journal of Information Management, Elsevier, vol. 33(3), pages 524-538.

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