挖掘网络交互来自动创建混搭

Jeffrey P. Bigham, R. S. Kaminsky, Jeffrey Nichols
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引用次数: 3

摘要

深层网络包含的信息比表层网络多一个数量级,但这些信息隐藏在大量网站的网络形式后面。元搜索引擎可以通过聚合来自多个资源的结果来帮助用户探索这些信息,但以前这些只能由程序员创建和维护。在本文中,我们通过挖掘多个web用户的web交互来发现不同网站上查询表单之间的关系,探索元搜索混混的自动创建。我们还提出了一个名为TX2的实现系统,该系统使用这些连接同时搜索多个深网资源,并将结果整合到一个结果页面中。TX2展示了自动构建混搭的前景,以及挖掘网络交互以探索深层网络资源的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining web interactions to automatically create mash-ups
The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch engines can help users explore this information by aggregating results from multiple resources, but previously these could only be created and maintained by programmers. In this paper, we explore the automatic creation of metasearch mash-ups by mining the web interactions of multiple web users to find relations between query forms on different web sites. We also present an implemented system called TX2 that uses those connections to search multiple deep web resources simultaneously and integrate the results in context in a single results page. TX2 illustrates the promise of constructing mash-ups automatically and the potential of mining web interactions to explore deep web resources.
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