Semantic interoperability for enhancing sharing and learning through e-government knowledge-intensive portal services

C.C. Kiu, L.Y. Yuen, Yue Hong Eric Tsui

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.
Original languageEnglish
Article number4
Pages (from-to)39-48
Number of pages10
JournalInternational Journal of Knowledge and Systems Science
Volume1
Issue number2
DOIs
Publication statusPublished - 2010

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