Posts Tagged ‘Barack Obama’

AlchemyAPI’s New Face Detection And Recognition API Boosts Entity Information Courtesy Of Its Knowledge Graph

AlcaclhinfohemyAPI has released its AlchemyVision Face Detection/Recognition API, which, in response to an image file or URI, returns the position, age, gender, and, in the case of celebrities, the identities of the people in the photo and connections to their web sites, DBpedia links and more.

According to founder and CEO Elliot Turner, it’s taking a different direction than Google and Baidu with its visual recognition technology. Those two vendors, he says in an email response to questions from The Semantic Web Blog, “use their visual recognition technology internally for their own competitive advantage.  We are democratizing these technologies by providing them as an API and sharing them with the world’s software developers.”

The business case for those developers to leverage the Face Detection/Recognition API include that companies can use facial recognition for demographic profiling purposes, allowing them to understand age and gender characteristics of their audience based on profile images and sharing activity, Turner says.

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Election 2012: The Semantic Recap

There’s no such thing as too much post-election coverage, is there? Alright, maybe there is. But we couldn’t let things die down without at least a nod to those in our space that have delivered the semantic industry’s own take on the topic.

Here are a few you may want to review:

Twitris Election Insights:

“The Twitris system had an amazing night–while Nate Silver’s model might have received well deserved attention, Twitris gave better indications and insights and large majority of the polls,” wrote Dr. Amit Sheth, Kno.e.sis Ohio Center of Excellence in Knowledge-enabled Computing director and LexisNexis Ohio Eminent Scholar, in an email to us. The semantic social web application (first covered here) is a project of Kno.e.sis at Wright State University.

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Closing In On A Million Open Government Data Sets

A million data sets. That’s the number of government data sets out there on the web that we have closed in on.

“The question is, when you have that many, how do you search for them, find them, coordinate activity between governments, bring in NGOs,” says James A. Hendler, Tetherless World Senior Constellation Professor, Department of Computer Science and Cognitive Science Department at Rensselaer Polytechnic Institute, and a principal investigator of its Linking Open Government Data project lives, as well as Internet web expert for, He also is connected with many other governments’ open data projects. “Semantic web tools organize and link the metadata about these things, making them searchable, explorable and extensible.”

To be more specific, Hendler at SemTech a couple of weeks ago said there are 851,000 open government data sets across 153 catalogues from 30-something countries, with the three biggest representatives, in terms of numbers, at the moment being the U.S., the U.K, and France. Last week, the one million threshold was crossed.

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News360 Semantic Service Gets You Local, Personalized News On Your iPhone

What do you get when you combine Semantic Web technology, geo-targeting capabilities, and Apple iOS devices like the iPhone and iPad? How about News360, a free App Store/iTunes app that can give you local news drawn from hundreds of content sources around the world based on your current position. While the team at News360 that developed the technology is based in Russia, the company’s focus is on English-language content, and about 80 percent of its users are U.S.-based.

The app was just updated at year’s end to include, along with some UI redesign and layout features, up-to-date stock graphs for all public companies and more data and links between objects in the dossiers it collects for each of the 130,000 different entities it currently tracks across the Internet. Plans for the service, which can extract users’ favorite objects so that news is more personalized, were to grow from 600 content sources to 1000 by the end of December, says Roman Karachinsky, chief business development officer at News360, with the bigger next-steps goal of reaching 2,000 or 3,000.

Approximately 150,000 articles are indexed by the service each day, and a chunk of them have their full text processed for semantic analysis, with the help of Microsoft’s cloud resources, so that they are available to users no later than 15 minutes after their original publication.

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A Semantic-based Essay as the Result for a Web Search


This article discusses ways of semantic processing in a search engine. Major search engines have one main type of result – a list of links to matching Web sources. There are many enhancements on top of it, but the core premise remains the same: a search result consists of a set of individual pages. The user is expected to drill down into individual sources. An alternative type of result is suggested: an essay compiled of a number of relevant and ordered sentences. The search engine in this case parses Web sources, understands their semantics, and creates an overall summary of the topic. The idea is to save the user time by providing a quick overview of the topic. A Web sentiment analysis application based on semantic analysis is introduced.

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Semantic Technologies Really Do Pay Off

As the former Chief Information Officer of Europe’s largest internet bank, Egg plc, the decision to select semantic technologies to underpin the launch of my next large scale consumer business, Garlik (, was not one I took lightly.

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