III-COR: Discovering and Organizing Hidden-Web Sources

IIS -0713637 Freire，JulianaUniversity of UtahIII-COR发现和组织隐藏的Web资源Web估计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Web数据源的问题，这是大规模检索和集成Web信息的必要步骤。 将探讨新技术在大量数据上的可扩展性。 新的机器学习技术将应用于确定和组织数据库的网站前端的问题，以及确定和组织作为数据库用户界面的网络表格的总体战略。 然后，这些将被聚类以发现数据库的域（类别），这些域将用于将收集的表单组织成可搜索的集合。这一收集将使有特殊兴趣的用户能够找到满足其需要的数据库。

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.