基于分块重要性模型与Xpath的Web信息抽取的研究  

Research on Web Information Extraction Based on Combining Block Importance Model and Xpath

作　　者：庞秋奔[1] 顾平[1] 杨小梅[1] 

机构地区：[1]广西大学计算机电子信息学院,广西南宁530004

出　　处：《计算机与现代化》2009年第8期73-75,79,共4页Computer and Modernization

摘　　要：网页分块方法使得Web信息抽取的单位由页面缩小为块。文中研究了网页分块的主要方法与基于学习的分块重要性模型,对Xpath的Web抽取方法进行分析。结合两者的优势提出一种基于分块重要性模型与Xpath结合的Web信息抽取方法,探讨了其设计过程,并给出形式化描述与实验结果,结果表明该方法适合于抽取多记录型的网页。Approaches of page segment reduce the LUSt of Web information extraction from page to block. This paper studies the main approaches of page segment and the based-learning block importance model, and analyses the approach of Xpath-based Web information extraction. Combining the advantages of the two approaches, this paper proposes a new Web information extraction based on combining block importance model and Xpath, discusses its design process, and gives its formalized description and ex- perimental result. The result shows that this approach is fit for extracting from the Web which has many records.

关 键 词：网页分块 块重要性权重 XPATH WEB信息抽取 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]