What makes a business ripe to adopt semantic web technologies? Those engaged in cross-enterprise business processes, in particular where models based on web technologies drive greater collaboration and increased dynamism, are on the list, says Professor Adrian Paschke,  Corporate Semantic Web chair at the institute of computer science at the Freie Universität Berlin and head of the InnoProfile project Corporate Semantic Web.

“That is motivation to apply semantic web technologies because you no longer are working in closed walls where you build your own schema and database model, but you need a flexible semantic model that easily integrates with others,” says Paschke.

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Semantic Tech & Business Conference Returns to San Francisco

Semantic Tech & Business Conference returns to San Francisco in June! Join us from June 3-7 for complete coverage of Big Data, Linked Data, Extreme Information Management, and Semantic Web. From breakthrough approaches to solving business problems to the big data implications of fast–evolving technologies, SemTechBiz provides you with an unparalleled interactive experience and delivers tangible business value. We're offering a special early rate when you register by February 17. Sign up now!

Document management as you know it probably isn’t delivering what you’d really like out of it, is it? “The complexity of document management is increasing a lot,” says George Roth, president and CEO of semantic technology integrator and consultancy Recognos Inc., who will be speaking about semantic technology’s impact on document management and all the unstructured data that lies within documents at the approaching Semantic Tech & Business Conference in Washington D.C. ( The event takes place at the end of November.)

“First, the volume of documents people are dealing with is increasing. And searching for information in general takes a lot of time. In different industries, like biotech or legal or finance, when people are doing research, 40 to 60 percent of their time is spent trying to find relevant documents,” he says. Classical tagging and superficial categorization can’t scale. “Keyword searches are actually obsolete at this point because the returned set of results is huge.”

As Roth sees it, if semantic technology isn’t behind your document management system yet, it will be.

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Executive Summary

The current information management tools and techniques have not kept pace with the dramatic growth of data within the enterprise. Much of this new data is represented in an unstructured or semi-structured format. The volume of the data makes it unmanageable by humans and the structure of the data makes it unavailable for machine processing. This has created a situation where information is now hidden or lost within the enterprise. This lost information has a significant business impact in the form of unmanaged risk and lost opportunities for revenue or savings.

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