基于DOM和视觉属性的网页信息过滤方法

Method of information filtering in Web based on DOM and vision attribute

本文介绍了一种基于DOM文档模型和网页视觉属性的信息过滤方法。通过对网页内容的结构和特点进行分析,把整个网页信息内容拆分成信息块和干扰块两种类型,通过网页解析器把页面转化成DOM模型并对网页干扰信息进行判定,依据页面的视觉属性对DOM模型进行简化,最终实现对DOM模型干扰信息的有效过滤。

This paper introduces a method of information filtering that is based on the DOM and Web vision attribute. By analysing the structure and characters of web information,web page can be separated into two categories： Valuable segments and Noise segments. This paper gets DOM with Parser, identifies web page noise, reduces DOM based on vision attribute and then eliminates web page noise.