Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Knowledge Management system framework for governmental regulating processes

A Knowledge Management system framework for governmental regulating processes 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Government, an International Journal Inderscience Publishers

A Knowledge Management system framework for governmental regulating processes

Loading next page...
 
/lp/inderscience-publishers/a-knowledge-management-system-framework-for-governmental-regulating-Ttt0SqQsii
Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1740-7494
eISSN
1740-7508
Publisher site
See Article on Publisher Site

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.

Journal

Electronic Government, an International JournalInderscience Publishers

Published: Jan 1, 2006

There are no references for this article.