The information search system using neural network and fuzzy clustering based on mobile agent

Authors:
Jaeseon Ko;Bobby D. Gerardo;Jaewan Lee;Jae-Jeong Hwang
Affiliations:
School of Electronic and Information Engineering, Kunsan National University, 573-701, South Korea;School of Electronic and Information Engineering, Kunsan National University, 573-701, South Korea;School of Electronic and Information Engineering, Kunsan National University, 573-701, South Korea;School of Electronic and Information Engineering, Kunsan National University, 573-701, South Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Year:
2005

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Abstract

Nowadays, Internet is generally useful for intelligent information search system that would satisfy user’s need. But most of the current agents are each independent and depend on a platform in the information retrieval system. In addition, it is possible to get unreliable information in a distributed environment because of inefficient communication and cooperation among agents. To solve these problems, we propose the searching mechanism based on ontology using mobile agent which is platform independent and uses intelligent classifier among agents. This mechanism improves the efficiency of cooperation and information processing so that the user who requests for the location of information can find it accurately and rapidly. Our experiment showed that the proposed system provided higher rate of accuracy for searching information.