Title: Knowledge management for Government-to-Government (G2G) process coordination

Authors: Lakshmi S. Iyer, Rahul Singh, Al F. Salam, Fergle D'Aubeterre

Addresses: Information Systems and Operations Management, The University of North Carolina at Greensboro, Greensboro, NC 27402, USA. ' Information Systems and Operations Management, The University of North Carolina at Greensboro, Greensboro, NC 27402, USA. ' Information Systems and Operations Management, The University of North Carolina at Greensboro, Greensboro, NC 27402, USA. ' Information Systems and Operations Management, The University of North Carolina at Greensboro, Greensboro, NC 27402, USA

Abstract: E-government is gaining momentum and has firmly established itself in addition to common terms such as |e-commerce| or |e-busines|. Given that e-government services extend across different organisational boundaries and heterogeneous infrastructures, there is a critical need to manage the knowledge and information resources stored in these disparate systems. Semantic Web technologies have the potential to manage the knowledge and coordinate Government-to-Government (G2G) processes. Based on the foundations of Semantic Web, including ontologies, knowledge representation, multi-agent systems and web services, knowledge management (KM) and G2G processes, we present a vision for KM for G2G process coordination. The Semantic G2G integration can support the transparent flow of semantically enriched information and knowledge, including content and know-how and enable collaborative G2G processes within and across governmental agencies.

Keywords: e-government; electronic government; government-to-government; G2G; ontology; knowledge management; semantic web; process coordination; intelligent agents; knowledge representation; multi-agent systems; agent-based systems; web services; information flow; knowledge flow.

DOI: 10.1504/EG.2006.008490

Electronic Government, an International Journal, 2006 Vol.3 No.1, pp.18 - 35

Published online: 23 Dec 2005 *

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