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A method for searching hidden web content that has previously been difficult to gather for the end user.
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Summary: Researchers in the Computer Science Department at UCLA have developed a method for searching hidden web content that has previously been difficult to gather for the end user. Background: Current internet search engines are limited in their ability to search through web-based databases that are only accessible through front-end search pages. Although this information is hidden to the typical user, it is usually of high value. Innovation: Researchers at UCLA have designed a system for searching the internet that is able to interact with web-based databases by automatically generating queries for their search pages. Applications: Internet information searching Advantages: Automatic generation of queries for web databases with no human interaction Generated queries are more effective in discovering content within the web databases Robust system design can handle partial list returns from the web databases Maximizes amount of downloadable web content and uses resources efficiently