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

被引：0
|
作者：
Ko, J [1 ]
Gerardo, BD [1 ]
Lee, J [1 ]
Hwang, JJ [1 ]
机构：
[1] Kunsan Natl Univ, Sch Elect & Informat Engn, Kunsan 573701, Chonbuk, South Korea
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, PT 2 | 2005年 / 3481卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：205 / 214
页数：10
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