基于DOM和视觉属性的网页信息过滤方法

摘要

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.%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.