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Deep Web diving



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QL2 Software and TEMIS have formed an alliance to deliver a mutually complementary system for creating industry-specific and application-oriented data analysis reports from what they call locked and hidden content.

QL2 explains its WebQL 3.0 platform automates information extraction from the Web, as well as from other unstructured data sources, and then reformats it into structured and actionable formats. WebQL gathers information from both inside and outside firewalls, as well as monitors password-protected sources (such as newswires, trade journals, e-mail repositories, Web sites and blogs) and then displays the relevant data. With the ability to extract and integrate data from virtually any source, QL2 claims, the product gives the enterprise seamless access to any type of information to further extend business and competitive intelligence, enterprise search, text analytics and other business operations solutions.

TEMIS says its Online Miner 3.2 is a text analytics and discovery solution that enhances the use of information by extracting documents‚ key concepts and their meanings for automatic classification and the discovery of new relationships and associations. It also provides a number of graphical options, enabling results visualization and navigation within the discovered content and allows faster access to relevant information. TEMIS further believes Online Miner plays a critical role in fields where information processing is complex due to the great volume of data, such as in competitive intelligence, customer relationship management, scientific intelligence and reputation management.


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