A Knowledge Management system framework for governmental regulating processes Online publication date: Fri, 23-Dec-2005
by Wajee Teswanich, Chutiporn Anutariya, Vilas Wuwongse
Electronic Government, an International Journal (EG), Vol. 3, No. 1, 2006
Abstract: In the domain of e-government, knowledge plays an important role in enhancing the effectiveness of e-government service provision, administrative processes and regulating processes. It comprises four kinds: terminological (or ontological), factual, empirical and regulatory. With an emphasis on governmental regulating processes, this paper proposes a framework for the modelling and management of as well as reasoning with these four types of knowledge by means of prominent Semantic Web languages, namely RDF and OWL. Moreover, the framework provides additional descriptive facilities on top of such languages by employment of XML Declarative Description (XDD) theory; hence, enabling semantic representation of arbitrary axioms, rules and constraints the key components in regulatory knowledge. Examples from a prototype of a Knowledge Management (KM) system for the regulating process of the Securities and Exchange Commission of Thailand are presented. They can also be applied to other regulatory agencies.
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