The integration and interoperability of autonomous and heterogeneous electronic government
(e-government) systems of government departments and agencies for a seamless services
delivery to citizens through one-stop e-government portals remain challenging issues in egovernment
development. In recent years, Semantic Web technologies have emerged as
promising solutions to these problems. Semantic Web technologies base on ontology allow
the description and specification of electronic services (e-services), making it easy to
compose, match, map and merge e-services and facilitate their semantic integration and
interoperability. However, a unified and comprehensive methodology that provides structured
guidelines for the semantic-driven planning and implementation of e-government systems
does not exist yet. This study presents a methodology framework for the semantic-driven
development of future e-government systems. The features of maturity models, software
engineering and Semantic Web domains are investigated and employed to draw and specify
the methodology framework. Thereafter, the semantic content of the methodology framework
is further specified using ontology building methodology and Semantic Web ontology
languages and platforms. The study would be useful to e-government developers, particularly
those of developing countries where there is little or no practice of semantic content
development in e-government processes as well as where little progress has been made
towards the development of one-stop e-government portals for seamless services delivery to
citizens. Part of the study would also be of interest to novice Semantic Web developers who
might use it as a starting point for further investigations. / Thesis (Ph.D. (Computer Science))--North-West University, Potchefstroom Campus, 2012
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nwu/oai:dspace.nwu.ac.za:10394/8482 |
| Date | January 2011 |
| Creators | Fonou Dombeu, Jean Vincent |
| Publisher | North-West University |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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