Applying CommonKADS and semantic web technologies to ontology-based e-government knowledge systems

Authors:
Dong Yang;Lixin Tong;Yan Ye;Hongwei Wu
Affiliations:
Department of Industrial Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Industrial Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Industrial Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Industrial Engineering, Shanghai Jiao Tong University, Shanghai, China
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

Citing 2
Cited 1

Knowledge engineering and management: the CommonKADS methodology

Knowledge engineering and management: the CommonKADS methodology
CML: The CommonKADS Conceptual Modelling Language

EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition

Reflections on 25+ years of knowledge acquisition

International Journal of Human-Computer Studies

Quantified Score

Hi-index	0.00

Visualization

Abstract

Government agencies are the largest owners of knowledge assets such as regulations, documents, forms To build a knowledge-based system (KBS) for e-government has proved to be an effective way to enhance the efficiency of handling governmental services However, few efforts are made to address automatic reasoning of knowledge-intensive tasks within e-government processes For this purpose, we present an approach to building an e-government KBS by using the CommonKADS, a knowledge-engineering methodology, and semantic web technologies (OWL, SWRL, OWL-S), with the aiming of automatically solving knowledge-intensive tasks within e-governmental services Our experiences show that the CommonKADS is crucial to the analysis and identification of knowledge-intensive tasks within government processes, whereas the semantic web technologies enable the refinement of domain ontologies, domain rules and task methods.