Electronic Government, Vol. 3, No. 1, 2006 Copyright © 2006 Inderscience Enterprises Ltd. 18 Knowledge Management for Government-to- Government (G2G) process coordination Lakshmi S. Iyer,* Rahul Singh, Al F. Salam and Fergle D’Aubeterre Information Systems and Operations Management, The University of North Carolina at Greensboro, Greensboro, NC 27402, USA E-mail: lsiyer@uncg.edu E-mail: rahul@uncg.edu E-mail: amsalam@uncg.edu E-mail: fjdaubet@uncg.edu *Corresponding author Abstract: E-government is gaining momentum and has firmly established itself in addition to common terms such as ‘e-commerce’ or ‘e-business’. 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; Government-to-Government (G2G); ontology; Knowledge Management; Semantic Web; process coordination; intelligent agent. Reference to this paper should be made as follows: Iyer, L.S., Singh, R., Salam, A.F. and D’Aubeterre, F. (2006) ‘Knowledge Management for Government-to-Government (G2G) process coordination’, Electronic Government, Vol. 3, No. 1, pp.18–35. Biographical notes: Lakshmi Iyer is an Associate Professor in the Information Systems and Operations Management Department at the University of North Carolina, Greensboro. She obtained her PhD from the University of Georgia, Athens. Her research interests are in the area of e-business processes, e-commerce issues, global issues in IS, intelligent agents, decision support systems and Knowledge Management. Her research work has been published or accepted for publication in CACM, eService Journal, Annals of OR, DSS, International Journal of Semantic Web and Information Systems, Journal of Global Information Technology Management, Journal of Scientific and Industrial Research, Encyclopedia of ORMS, Journal of Information Technology Management, Journal of Data Warehousing and Industrial Management and Data Systems. Rahul Singh is an Assistant Professor in the Information Systems and Operations Management Department at the University of North Carolina, Greensboro. He obtained his PhD in Business Administration from Virginia