DocumentCode :
2689941
Title :
A new semantic knowledge sharing approach for e-government systems
Author :
Miah, Shah Jahan
Author_Institution :
Inf. Syst., Univ. of the Sunshine Coast, Sunshine Coast, QLD, Australia
fYear :
2010
fDate :
13-16 April 2010
Firstpage :
457
Lastpage :
462
Abstract :
Knowledge sharing within a large entity such as government organizations, is critical to successful e-government implementations. Semantic technologies offer promise in this regard, however, many studies in the past have suggested that the semantic technologies for knowledge sharing suffer from potential weaknesses such as dynamicity, scalability, flexibility and offer limited options for specific business applications. In most cases the need for knowledge integration in business interactions in government systems are overlooked or loosely addressed due to rapidly changing situations and complex business networking. Significant challenges remain in developing e-government solution that can address the need for growing knowledge integration and sharing to enhance business interactions. This paper outlines a knowledge sharing framework to solve these issues with respect to citizen´s participation in e-government system, by encouraging user driven activities through the use of emerging technology and ontology based design.
Keywords :
government data processing; ontologies (artificial intelligence); business networking; e-government systems; government organizations; knowledge integration; ontology based design; semantic knowledge sharing approach; Ecosystems; Electronic government; Knowledge management; Ontologies; Semantics; Semantic technology; e-government; knowledge sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies (DEST), 2010 4th IEEE International Conference on
Conference_Location :
Dubai
ISSN :
2150-4938
Print_ISBN :
978-1-4244-5551-5
Type :
conf
DOI :
10.1109/DEST.2010.5610607
Filename :
5610607
Link To Document :
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