Top-down extraction of semi-structured data

B. Ribeiro-Neto, Alberto H. F. Laender, A. D. Silva
{"title":"Top-down extraction of semi-structured data","authors":"B. Ribeiro-Neto, Alberto H. F. Laender, A. D. Silva","doi":"10.1109/SPIRE.1999.796593","DOIUrl":null,"url":null,"abstract":"We propose an innovative approach to extracting semi-structured data from Web sources. The idea is to collect a couple of example objects from the user and to use this information to extract new objects from new pages or texts. We propose a top-down strategy that extracts complex objects, decomposing them in objects less complex, until atomic objects have been extracted. Through experimentation, we demonstrate that with a small number of given examples, our strategy is able to extract most of the objects present in a Web source given as input.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIRE.1999.796593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

We propose an innovative approach to extracting semi-structured data from Web sources. The idea is to collect a couple of example objects from the user and to use this information to extract new objects from new pages or texts. We propose a top-down strategy that extracts complex objects, decomposing them in objects less complex, until atomic objects have been extracted. Through experimentation, we demonstrate that with a small number of given examples, our strategy is able to extract most of the objects present in a Web source given as input.
自顶向下提取半结构化数据
我们提出了一种从Web资源中提取半结构化数据的创新方法。这个想法是从用户那里收集一些示例对象,并使用这些信息从新的页面或文本中提取新的对象。我们提出了一种自顶向下的策略,提取复杂的对象,将它们分解为不那么复杂的对象,直到原子对象被提取出来。通过实验,我们证明了使用少量给定示例,我们的策略能够提取作为输入的Web源中存在的大多数对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信