基于Multi-agent技术的Web文本挖掘模型及应用  

Model of Web Text Mining System Based on Multi-agent Technology and Application

作　　者：姜丽华[1] 黄敏[1] 马永光[1] 佟振声[1] 

机构地区：[1]华北电力大学仿真与控制实验室,保定071003

出　　处：《计算机工程》2005年第1期217-218,221,共3页Computer Engineering

摘　　要：介绍了一个基于Multi-agent技术的Web文本挖掘模型,该模型利用多智能体技术,将文本挖掘和多维文件分析技术结合起来实现了文档收集、预处理、分类、聚类等功能。最后给出了根据该模型设计和实现的某企业人才素质评价系统的实例,系统运行结果证明了模型的有效性和科学性。An intelligent Web text mining system based on multi-agent technology is introduced in this paper. Multi-agent architecture and the combination of text mining and multi-dimension document analysis technology are used in the model to realize document gathering, preprocessing, categorization, clustering and so on. The model is applied in the design and implementation of an appreciation system of human quality of an enterprise and the executing result of this system shows the efficiency and scientificity of the model.

关 键 词：MULTI-AGENT 自然语言处理 数据挖掘 文本挖掘 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]