基于改进的网络蜘蛛算法抽取Web站点结构的方法  

Method of the Web Structure Recovery Based on the Improved Spider Algorithm

作　　者：刘继红[1] 吴军华[1] 任明鑫[1] 

机构地区：[1]南京工业大学电子与信息工程学院,江苏南京210009

出　　处：《江南大学学报（自然科学版）》2009年第5期555-559,共5页Joural of Jiangnan University (Natural Science Edition)　

摘　　要：针对传统的Web站点结构恢复方法的局限性,提出了一种基于改进的网络蜘蛛算法的Web结构抽取方法,并实现了相应的工具WebAnalyzer。该方法通过深度优先搜索策略递归遍历Web站点,同时对网页的语法、标签进行分析,提取词法信息,在此基础上形成Web结构视图和词法表。实验表明,该方法能够快速准确地恢复Web站点结构图。Due to the limitation of the traditional structure extraction based on the improved spider method, the paper presents a method of the web algorithm, and gives the implementation process of the tool named WebAnalyzer. This method visits the whole website in-depth first way, analyzes the tag of the HTML files and the syntax of the JavaScript, and pick-ups the lexical information. Based on this, the web structural view and lexieal table are formed. The experiment result shows that the methods can recover the Web structure quickly and exactly

关 键 词：WEB应用 逆向工程 静态分析 结构抽取 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]