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

Li, CS; Zhang, CQ; Zhang, ZL

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

Li, CS Zhang, CQ

Zhang, ZL

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Publication Type:: Conference Proceeding
Citation:: Proceedings of 2002 International Conference on Machine Learning and Cybernetics, 2002, 4 pp. 1852 - 1857
Issue Date:: 2002-12-01

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Field	Value	Language
dc.contributor.author	Li, CS	en_US
dc.contributor.author	Zhang, CQ https://orcid.org/0000-0001-5715-7154	en_US
dc.contributor.author	Zhang, ZL	en_US
dc.date.issued	2002-12-01	en_US
dc.identifier.citation	Proceedings of 2002 International Conference on Machine Learning and Cybernetics, 2002, 4 pp. 1852 - 1857	en_US
dc.identifier.isbn	0780375084	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2456
dc.description.abstract	To use the vast amount of information efficiently and effectively from websites 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 methodology and Open Agent Architecture to analyze and design the system. The system consists of 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.	en_US
dc.relation.ispartof	Proceedings of 2002 International Conference on Machine Learning and Cybernetics	en_US
dc.title	An agent-based intelligent system for information gathering from world wide web environment	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Beijing, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

To use the vast amount of information efficiently and effectively from websites 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 methodology and Open Agent Architecture to analyze and design the system. The system consists of 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.

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http://hdl.handle.net/10453/2456