文本数据挖掘技术在Web知识库中的应用研究

The Applied Research of Text Data Mining Technology in the Web Knowledge Base

介绍了文本数据挖掘和知识提取的基本理论,然后分析了网络信息的检索与挖掘的特征,特别是文本挖掘、Web数据挖掘和基于内容数据挖掘与之相关联的系列问题。在此基础上,分析了Web知识库的设计、建立、文本数据挖掘和知识发现所需的理论和技术,对Web知识库系统的架构和功能模块进行分析和设计,建立了基于文本数据挖掘的Web网络知识库的模型。

This article first briefly describes the basic theory of text data mining and knowledge extraction,and then analyzes the network information retrieval and mining of feature,especially Web text mining,data mining and data mining based on content associated with the series of problems.On this basis,we analyzed theory and technology that the Web knowledge base design,build,text data mining and knowledge discovery are required,the Web knowledge base system structure and function module is analyzed and designed,based on text data mining Web network knowledge base model.