VEDD——使用DOM树提取数据的可视化包装器

A. Tripathy, Nilakshi Joshi, Steffy Thomas, Shweta U. Shetty, Namitha Thomas
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引用次数: 8

摘要

在数据网络中搜索信息时,万维网起着重要的作用。用户不断地暴露在不断增长的信息洪流中。包装器是帮助从多个搜索引擎中搜索SSR (Search Results Records)的应用程序。这有助于使搜索更有效和可靠。VEDD包装器通过过滤掉噪声和冗余记录,从三个搜索引擎中提取相关的srr。最后,唯一的记录集显示在公共VEDD搜索结果页面中。使用文档对象模型(DOM)树的概念执行提取。本文提出了一系列的数据过滤器来检测和删除网页中的无关数据。数据过滤器还将用于进一步改进数据记录的相似性检查。同时,利用底层浏览器渲染引擎的视觉线索,通过关键词匹配技术从深网中定位和提取相关数据区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VEDD- a visual wrapper for extraction of data using DOM tree
The World Wide Web plays an important role while searching for information in the data network. Users are constantly exposed to an ever-growing flood of information. A wrapper is an application which helps in searching for Search Results Records (SSR) from multiple search engines. This helps in making the search more efficient and reliable. VEDD wrapper extracts the relevant SRRs from three search engines by filtering out the noisy and redundant records. Finally the unique set of records is displayed in a common VEDD search result page. The extraction is performed using the concepts of Document Object Model (DOM) tree. The paper presents a series of data filters to detect and remove irrelevant data from the web page. The data filters will also be used to further improve the similarity check of data records. Also, visual cues from the underlying browser rendering engine is made use to locate and extract the relevant data region from the deep web by the keyword matching technique.
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