标题:
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
作者:
刘三星
关键字:
互联网, 信息抽取, HTML, XML, 文本信息抽取Internet, Information Extraction, HTML, XML, Text Information Extraction
期刊名称:
《Hans Journal of Data Mining》, Vol.5 No.4, 2015-11-26
摘要:
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。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.