SemTech Videos

Semantic Web in Emergency Response Systems – UPDATE

by Eric Franzon Coordinated emergency response, built on Linked Data. That is the vision of Bart van Leeuwen, Amsterdam Firefighter and founder of software company, Netage. We’ve covered Bart’s work before here at SemanticWeb.com and at the Semantic Technology & Business Conference, and today, there is news that the work is advancing to a new…

The Semantic Spin On YouTube's GeekWeek

As you surely know by now, it’s GeekWeek on YouTube. But in case you haven’t been keeping up with every theme, today is Brainiac Tuesday, its focus on science, education and knowledge – a particularly relevant topic for readers of this blog, we think. We didn’t see any particularly semantic videos pointed out in the…

Keynote Video and Updates from the Amsterdam Fire Department

Bart van Leeuwen, software executive (netage.nl) and firefighter (Amsterdam Fire Department), has a story of practical application of Semantic Web technologies that we have covered before here at SemanticWeb.com and in our Semantic Technology & Business Conference series. Below, we offer the video of the keynote address he delivered in June at the San Francisco…

#SemTechBiz Keynote: Semantic Technology at The Library of Congress

Laura Campbell, CIO of the Library of Congress, spoke at the recent SemTech Conference about how the world’s largest library leverages semantic technology to help manage the vast resources of the LoC. The Library of Congress is “more than just a library,” said Campbell, pointing out that the LoC has “the Congressional Research Service, the…

#SemTech Spotlight on IBM Watson

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At the 2011 SemTech San Francisco, there was a special presentation by Aditya Kalyanpur, of IBM Research. Kalyanpur was part of the algorithm team on the Watson project. You remember Watson, right? The computer who won Jeopardy earlier this year?  We covered the story, if you need a reminder of what happened. Here is the…

#SemTechBiz Keynote: Department of Defense Mandates use of Semantic Technology (Video)

“The Secretary of Defense is responsible for a half-trillion dollar enterprise that is roughly an order of magnitude larger than any commercial corporation that has ever existed. DoD estimates that business support activities—the Defense Agencies and the business support operations within the Military Departments—comprise 53% of the DoD enterprise.” This was one of the realities…

#SemTechBiz Keynote: Semantics – the B2C Game Changer (Video)

Bill Guinn, CTO Product Enablers, Amdocs Product Business Unit, delivered a keynote at the 2011 Semantic Technology Conference in San Francisco. His talk was one of the highlights for anyone interested in how Semantic Technology can be used in enterprise systems. “I truly believe that semantics can be a game changer in just about any…

Semantic Search Beyond RDF – SemTech 2009 Video

MODERATOR:
Wen Ruan, TextWise

PANELISTS:
Ronald M. Kaplan, Powerset division of bing
Christian F. Hempelmann, RiverGlass, Inc.
Riza Berkan, hakia

Semantic Search technology in the Semantic Web community is often understood as retrieval of knowledge from tagged data such as RDF sources, which require substantial formatting and markup to realize. Understanding unstructured query and document text and conducting searches according to their meaning is another approach, exemplified by linguistically rooted semantic matching, ontological knowledge-based semantic interpretation, and statistically based semantic similarity search.

This panel will look at different ways to tackle semantic search as a problem of text understanding. Powerset division of bing’s natural-language processing engine does deep syntactical analysis to determine the meaning of a query or a sentence. Hakia relies on a language-independent ontology model and an ontology-based English lexicon to translate text into a representation of its meaning. RiverGlass has developed an ontological semantic approach to search and text analytics, emphasizing the in-context, linguistic meaning of textual content in order to return truly relevant results in response to information requests. TextWise’s Semantic Signature matching looks for similarities between a query and text at the topic level.