Automatic data extraction of websites using data path matching and alignment

Yu-Chun Chu, Chiun-Chieh Hsu, Cheng-Jhe Lee, Yu-Ting Tsai
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引用次数: 9

Abstract

Since most of web pages contain their main information in data records, extracting data records enables one to obtain and integrate data from diverse sources of Internet. Therefore, data extraction of web pages has been a popular research issue in the last decade. The paper aims to automatically extract data records from web pages and identify items from those extracted records. The proposed approach utilizes Data Path Matching to effectively extract data records and Data Path Code Alignment to efficiently identify data items. Experimental results reveal that the method can extract data effectively.
使用数据路径匹配和对齐的网站自动数据提取
由于大多数网页的主要信息都包含在数据记录中,因此提取数据记录可以获取和整合来自Internet的各种来源的数据。因此,网页的数据提取是近十年来研究的热点问题。本文旨在从网页中自动提取数据记录,并从这些提取的记录中识别条目。该方法利用数据路径匹配有效地提取数据记录,利用数据路径代码对齐有效地识别数据项。实验结果表明,该方法可以有效地提取数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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