Data Extraction Based on Page Structure Analysis

摘要：

　　The information we need has some confusing problems such as dispersion and different organizational structure.In addition,because of the existence of unstructured data like natural language and images,extracting local content pages is extremely difficult.In the light of of the problems above,this article will apply a method combined with page structure analysis algorithm and page data extraction algorithm to accomplish the gathering of network data.In this way,the problem that traditional complex extraction model behave poorly when dealing with large-scale data is perfectly solved and the page data extraction efficiency is also boosted to a new level.In the meantime,the article will also make a comparison about pages and content of different types between the methods of DOM structure based on the page and HTML regularities of distribution.After all of those,we may find a more efficient extract method.

关键词： Page Structure Analysis Data Extraction JSON1

作者: Yichao Ren Jiayin Tian

作者单位: College of Information Engineering,Communication University of China,Beijing,China

会议类型: 国际会议

会议名称: 2017第三届机械、电子和信息技术工程国际会议(ICMITE 2017)

会议地点: 成都

会议语种:英文

页码: 1-6

在线出版日期: 2017-12-16（万方平台首次上网日期，不代表论文的发表时间）