Posts Tagged ‘Scott Koegler’

Interview with Krista Thomas

Scott Koegler talks with Krista Thomas of Thomson Reuters about Open Calais, and how semantics is being leveraged to bring advantages to publishers of all types.

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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!

Interview with Krista Thomas

Scott Koegler talks with Krista Thomas of Thomson Reuters about Open Calais, and how semantics is being leveraged to bring advantages to publishers of all types.

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Interview with Scott Prevost

Scott Prevost talks with Scott Koegler about the use of semantics in Bing, and how the technology is being used to improve search results and enhance the user experience.

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Interview with Extractiv.com

Extractiv.com talks with Scott Koegler about the capabilities of their semantic crawl and render application.

Interview with Nicholas Cox

Nicholas Cox, senior program manager with Yahoo, talks with Scott Koegler about integrating semantics with search, and how efforts are showing results in terms of more traffic and more satisfaction for users.

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Book Excerpt: Semantic Web for the Working Ontologist

We are presenting an excerpt from Dean Allemang’s newly released book. This is the closing chapter of the book, which, as all closing chapters should be able to do, stands alone nicely. We are happy to be able to give you a preview of this new publication.

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Semantic Wave 2008 Report

As someone visiting SemanticReport, you probably already know that semantic technologies are becoming a significant market and business opportunity. What you may not know is how quickly semantic technologies have been maturing and how broadly they are now being applied across all industry sectors from consumer internet to enterprise applications and for new infrastructure from multi-core chips, to mobility, to web-scale cloud computing. The landscape is shifting rapidly. Along with investors, technology developers, and enterprises in the public and private sectors you want to know which opportunities to attack, what to build, what to buy, and why.

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The Start of Twine

Yesterday I was able to spend a few minutes on the phone with Nova Spivack, CEO of Radar Networks. If you’re reading this newsletter, you already know that Radar Networks announced its closed beta for Twine, its semantically enabled collaboration and information system.

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Real (Semantic) Business

This second edition of the SemanticReport includes topics and contributions from a variety of sources.  We have been encouraged by your response to our inaugural issue last month, and have made every effort to continue to deliver information to you that is pertinent to bringing semantic technology into the business world.

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Making Semantics Work in the Enterprise

This whitepaper from Metatomix presents a perspective on applying semantic technologies to business applications.  The document starts out with an example. What do a judge arraigning a defendant on a traffic violation, an aerodynamics engineer comparing two wing designs, and a broker opening a margin account for a new customer have in common? At first blush, these might seem to be unrelated professionals performing wildly different tasks, but they are all actually trying to do the same thing: put together enough relevant information from different sources of data to make the right decision. Each of them wants to make a quick and accurate decision, and the consequences of a poor decision can be farreaching. Each of them also faces a diverse IT environment that allows access to a massive amount of data, but provides no assistance in correlating and actively interpreting data to create actionable information.

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