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An agent-based intelligent system for information gathering from world wide web environment

Li, Chun-Sheng, Zhang, Chenq-Qi and Zhang, Zili 2002, An agent-based intelligent system for information gathering from world wide web environment, in 2002 International Conference on Machine Learning and Cybernetics : proceedings : November 4-5, 2002, Prime Hotel, Beijing, China, IEEE Xplore, Piscataway, N.J., pp. 1852-1857.

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Title An agent-based intelligent system for information gathering from world wide web environment
Author(s) Li, Chun-Sheng
Zhang, Chenq-Qi
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Machine Learning and Cybernetics. Conference (2002 : Beijing, China)
Conference location Beijing, China
Conference dates 4-5 November 2002
Title of proceedings 2002 International Conference on Machine Learning and Cybernetics : proceedings : November 4-5, 2002, Prime Hotel, Beijing, China
Editor(s) Tang, Y.Y.
Publication date 2002
Conference series Machine Learning and Cybernetics Conference
Start page 1852
End page 1857
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) software agent
information retrieval
information filtering
categorized training
WWW
Summary To use the vast amount of information efficiently and effectively from Web sites is very important for making informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by users. In this paper, an information gathering system is develop by means of multiple agents to solve those problems. We employed some ideas of Gaia's methodology and an open agent architecture to analyze and design the system. The system consists of a query preprocessing agent, information retrieval agent, information filtering agent, and information management agent. The filtering agent is trained with categorized documents and can provide users with the necessary information. The experimental results show that all agents in the system can work cooperatively to retrieve relevant information from the World Wide Web environment.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780375084
9780780375086
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2002 IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009536

Document type: Conference Paper
Collections: School of Information Technology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.