skip to main content
10.1145/1141277.1141350acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article

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

Published: 23 April 2006 Publication 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.
[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.
[3]
A. Kobsa. Generic user modeling systems. User Modeling and User-Adapted Interaction, 11:49--63, 2001.
[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.
[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.
[6]
M. Pazzani and D. Billsus. Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning, 27(3):313--331, 1997.
[7]
J. Sharrard, J. McCarthy, M. Tavilla, and J. Stanley. Sizing US government. Technical report, Forrester Research, Inc., Cambridge, Massachussets, USA, 2000.
[8]
I. Witten and E. Frank. Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco, California, USA, 2000.
[9]
M. Wooldridge. An Introduction to MultiAgent Systems. John Wiley & Sons, 2002.

Cited By

View all

Index Terms

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

    Recommendations

    Comments

    Information & Contributors

    Information

    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
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 April 2006

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. e-government
    2. multi-agent systems
    3. user profiling

    Qualifiers

    • Article

    Conference

    SAC06
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

    Upcoming Conference

    SAC '25
    The 40th ACM/SIGAPP Symposium on Applied Computing
    March 31 - April 4, 2025
    Catania , Italy

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 09 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media