基于DOM模型扩展的Web信息提取  

Extraction of Information from Web Pages Based on Extended DOM Tree

作　　者：顾韵华[1] 田伟[1] 

机构地区：[1]南京信息工程大学计算机与软件学院,南京210044

出　　处：《计算机科学》2009年第11期235-237,289,共4页Computer Science

基　　金：江苏省产业技术研究与开发基金项目(苏发改高技发[2006]1106号)资助

摘　　要：提出了一种基于DOM模型扩展的Web信息提取方法。将Web页面表示为DOM树结构,对DOM树结点进行语义扩展并计算其影响度因子,依据结点的影响度因子进行剪枝,进而提取Web页面信息内容。该方法不要求对网页的结构有预先认识,具有自动和通用的特点。提取结果除可以直接用于Web浏览外,还可用于互联网数据挖掘、基于主题的搜索引擎等应用中。A method of information extraction from Web pages was presented, and it is based on extended DOM tree. Web pages were firstly transformed to DOM tree, then the DOM tree was extended by adding semantic expression to node and influence degree was calculated for each node. According to influence degree of nodes, the DOM tree was pruned,and it can automatically extract the useful relevant content from Web pages. This approach is a universal method,which does not require to pre-know the structure of the Web page. The results of the information extraction are used not only for browsing but also for further Web information process, such as internet data mining, topic-based search engine.

关 键 词：文档对象模型 WEB信息提取 影响度因子 DOM树扩展 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]