Abstract
A popular trend in data dissemination involves online data sources that are hidden behind query forms, which are part of the deep web. Extracting information across multiple deep web sources in a domain is challenging, but increasingly crucial in many areas. Keyword search, a popular information discovery method, has been studied extensively on the surface web and relational databases. Keyword-based queries can provide a powerful yet intuitive means for accessing data from the deep web as well. However, this involves many challenges. For example, deep web data is hidden behind query interfaces, deep web data sources often contain redundant and/or incomplete data, and there is often inter-dependence among data sources. Thus, it is very hard to automatically execute cross-source queries.
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