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Fuzzy Intelligent Agents for Data Mining and Information Retrieval from World Wide Web Outline Databases
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Author(s): M. Mohammadian (University of Canberra, Australia)and R. Jentzsch (University of Canberra, Australia)
Copyright: 2004
Pages: 5
Source title:
Innovations Through Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-261-9.ch139
ISBN13: 9781616921255
EISBN13: 9781466665347
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Abstract
Each month, each year the amount of information available via the World Wide Web continues to increase. This continued increase makes the job of locating useful and relevant information more complex. This complexity drives the need for improved search and retrieval techniques, in particular using better search engines. Current search engines are primarily passive tools locked into a particular vendor’s way of doing things. Intelligent agents can assist in improving the performance of search and retrieval engines. The use of existing search and retrieval engines with the aid of an intelligent agent will allow a more comprehensive search. This research study provides the building blocks for integrating intelligent agents with current search engines. It shows how an intelligent system can be constructed to assist in better information retrieval and filtering. This research study is unique in the way the agents are directed and how fuzzy logic and intelligent agents are combined to improve the information filtering and retrieval of information via the World Wide Web sources.
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