%0 Journal Article
%T 基于WEB网页文本信息抽取研究与实现
Research and Implementation of Text Information Extraction Based on WEB
%A 刘三星
%J Hans Journal of Data Mining
%P 69-74
%@ 2163-1468
%D 2015
%I Hans Publishing
%R 10.12677/HJDM.2015.54010
%X
本文以传统的信息抽取理论和方法为基础,实现了一种基于XML特征的网页文本抽取方法。研究了一般网页的特征,实现了一种基于XML标签特征的网页提取方法,对网页进行HTML页面标准化,将其转成XML语言,并且根据XML语言的特点,对其内部语言进行转化,从GB转为UTF,并对其进行标准化,然后通过熟悉XML标签的各种特性,对网页文本根据标签进行抽取。<br/>In this paper, based on the theory and method of traditional information extraction, a method of Web Text Extraction Based on XML features is realized. The characteristics of general web pages are studied. A method of web page extraction based on XML tag feature is implemented. The HTML pages are standardized. The XML language is converted into XML language. According to the fea-tures of XML language, the internal language is transformed from GB to UTF, and then the standard is also extracted.
%K 互联网,信息抽取,HTML,XML,文本信息抽取
Internet
%K Information Extraction
%K HTML
%K XML
%K Text Information Extraction
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=16411