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A multi-agent system for efficiently managing query answering in an e-government scenario

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Published:23 April 2006Publication History

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.

References

  1. A. Cesta and D. D'Aloisi. Building interfaces as personal agents: a case study. ACM SIGCHI Bullettin, 28(3):108--113, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 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 ScholarGoogle Scholar
  3. A. Kobsa. Generic user modeling systems. User Modeling and User-Adapted Interaction, 11:49--63, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  5. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. Pazzani and D. Billsus. Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning, 27(3):313--331, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. Sharrard, J. McCarthy, M. Tavilla, and J. Stanley. Sizing US government. Technical report, Forrester Research, Inc., Cambridge, Massachussets, USA, 2000.Google ScholarGoogle Scholar
  8. I. Witten and E. Frank. Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco, California, USA, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. Wooldridge. An Introduction to MultiAgent Systems. John Wiley & Sons, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. A multi-agent system for efficiently managing query answering in an e-government scenario

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    • Published in

      cover image ACM Conferences
      SAC '06: Proceedings of the 2006 ACM symposium on Applied computing
      April 2006
      1967 pages
      ISBN:1595931082
      DOI:10.1145/1141277

      Copyright © 2006 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 April 2006

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      Overall Acceptance Rate1,650of6,669submissions,25%

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