III-COR: Discovering and Organizing Hidden-Web Sources

IIS-0713637朱利安犹他州大学III-COR发现和组织隐藏的网络资源据估计，该网络包含数百万个在线数据库。随着在线数据库数量的增长，对允许用户和应用程序利用隐藏在其Web表单界面后面的高质量信息的技术和工具的需求也在增加。该项目将解决发现和组织隐藏的Web数据源的问题，这是大规模检索和整合Web信息的必要步骤。我们将探索新技术在海量数据上的可伸缩性。新的机器学习技术将应用于定位和组织数据库的网站正面的问题，以及定位和组织充当数据库用户界面的网络表格的总体战略。然后对这些表格进行集群，以发现数据库的域(类别)，这些域将用于将收集的表格组织到可搜索的集合中。该集合将允许有特殊兴趣的用户找到满足其需求的数据库。

IIS - 0713637Freire, JulianaUniversity of UtahIII-COR Discovering and Organizing Hidden-Web SourcesThe Web is estimated to contain millions of online databases. As the number of online databases grows, there has been an increased need for techniques and tools that allow users and applications to leverage the high-quality information that is hidden behind their Web form interfaces. This project will address the problem of discovering and organizing hidden-Web data sources, a necessary step to large-scale retrieval and integration of Web information. Scalability of novel techniques over very large volumes of data will be explored. New machine learning techniques will be applied to the problem of locating and organizing Web site fronts to databases and the overall strategy of locating and organizing web forms that serve as user interfaces to databases. These would then be clustered to discover domains(categories) of databases the domains would be used to organize the collected forms into a searchable collection. That collection will allow users with particular interests to located databases that serve their needs.