ABSTRACT
This paper aims at studying the exploitation of the Intelligent Agent technology for supporting citizens in their access to e-government services. It appears particularly suited in the present e-government scenario characterized by a huge amount of heterogeneous data and services, delivered by government agencies, that makes difficult to quickly answer citizen queries. In this paper we show that the exploitation of the Intelligent Agent technology facilitates the search of information on government data sources in such a way to completely and precisely satisfy citizen queries. Our system creates and maintains suitable profiles of involved users, representing their preferences and exigencies; in addition, it adopts suitable algorithms that exploit information stored in citizen profiles for producing recommendations.
- A. Cesta and D. D'Aloisi. Building interfaces as personal agents: a case study. ACM SIGCHI Bullettin, 28(3):108--113, 1996. Google ScholarDigital Library
- A. Consulting. e-Government Leadership Rhetoric vs. Reality---Closing the Gap. Technical report, Available at www.accenture.com/xdoc/en/industries/government/final.pdf, 2001.Google Scholar
- A. Kobsa. Generic user modeling systems. User Modeling and User-Adapted Interaction, 11:49--63, 2001. Google ScholarDigital Library
- G. Koutrika and Y. Ioannidis. Personalized queries under a generalized preference model. In Proc. of the IEEE International Conference on Data Engineering (ICDE 2005), pages 841--852, Tokyo, Japan, 2005. IEEE Computer Society Press. Google ScholarDigital Library
- G. Marchionini, H. Samet, and L. Brandt. Introduction to the Special issue on Digital Government. Communications of the ACM, 46(1):24--27, 2003. Google ScholarDigital Library
- M. Pazzani and D. Billsus. Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning, 27(3):313--331, 1997. Google ScholarDigital Library
- J. Sharrard, J. McCarthy, M. Tavilla, and J. Stanley. Sizing US government. Technical report, Forrester Research, Inc., Cambridge, Massachussets, USA, 2000.Google Scholar
- I. Witten and E. Frank. Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco, California, USA, 2000. Google ScholarDigital Library
- M. Wooldridge. An Introduction to MultiAgent Systems. John Wiley & Sons, 2002. Google ScholarDigital Library
Index Terms
- A multi-agent system for efficiently managing query answering in an e-government scenario
Recommendations
Open government and e-government: democratic challenges from a public value perspective
Special issue on Open Government and Public Participation: Issues and Challenges in Creating Public ValueWe argue that the Obama Administration's Open Government Initiative blurs distinctions between e-democracy and e-government by incorporating historically democratic practices. now enabled by emerging technology. within administrative agencies. We ...
Open government and e-government: democratic challenges from a public value perspective
dg.o '11: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging TimesWe consider open government (OG) within the context of e-government and its broader implications for the future of public administration. We argue that the current US Administration's Open Government Initiative blurs traditional distinctions between e-...
What Shapes Global Diffusion of e-Government: Comparing the Influence of National Governance Institutions
Prior research has established the existence of a differential between industrialized and other countries for e-Government diffusion. It attempts to explain this divide by identifying economic and technical variables. At the same time, the role of ...
Comments