Smartlogic recently released a new version of its Semaphore software, which took home the 2011 European Frost & Sullivan Technology Innovation Award. Version 3.3 adds new semantically-rich features, but the company itself has been shifting its strategy to talk about its solution less as the enterprise semantic platform and more as a content intelligence platform for identifying, classifying, extracting, analyzing and utilizing hard-to-find information from among unstructured assets in existing information management systems like Microsoft SharePoint.

Why? According to marketing VP Maya Natarajan, it’s an in to better customer access. “Whenever you think of the word semantic, there’s such a small percentage of the population that understands what it is,” she says. “But amazingly the uptake for content intelligence is so great. People immediately understand that so much quicker” — that is, she says, that content intelligence describes all the business reasons and benefits for deploying an enterprise semantic platform.

Another way to make the virtues of content intelligence even more obvious: Smartlogic is planning to introduce prebuilt starter taxonomies to kickstart the process in some vertical sectors. Meanwhile, Version 3.3 has brought to its customers features that still proclaim its semantic heritage, including a semantic visualization tool.

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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!

Bing is looking for a new Senior Software Development Engineer in Bellevue, WA. The post states, “We are looking for a technical lead to design and implement the infrastructure to combine the semantics, social network and recommendation engines. We offer fast paced environment where quick and iterative development and deployment of services is expected. This position offers and requires working with senior researchers and bringing machine learning algorithms to the web.” Responsibilities include: “Design and develop scalable infrastructure for knowledge web backend. Build next generation recommendation engines. Build and enhance the graph store and graph algorithms, integrate with social graph. Automation of the backend processes. Working with researchers and translate them into engineering solutions for algorithms that plug-in to the backend processes.” Read more

Last month, we reported on the new RDFa 1.1 Lite proposal by Ben Adida. In our recent podcast on Schema.org with guest Ramanathan V. Guha, we touched on the topic of RDFa Lite as well.

Today, schema.org spokesperson Dan Brickley posted that “we’re pleased to give advance notice of a new way of adopting schema.org’s structured data vocabulary. W3C’s RDF Web Applications group are right now putting the finishing touches to the latest version of the RDFa standard. This work opens up new possibilities also for developers who intend to work with schema.org data using RDF-based tools and Linked Data, and defines a simplified publisher-friendly ‘Lite’ view of RDFa.”

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Apple’s Siri interface has been attracting derision from higher-ups at Google and Microsoft while the public at large sings Siri’s praises. Andy Rubin, Google’s head of Android recently said, “I don’t believe your phone should be an assistant…Your phone is a tool for communicating… You shouldn’t be communicating with the phone; you should be communicating with somebody on the other side of the phone.” Read more

On Friday, October 14, a group of Semantic thought leaders from around the globe met with their host and colleague, Paul Miller, for the latest installment of the Semantic Link, a monthly podcast covering the world of Semantic Technologies. This episode includes a discussion about schema.org. The Semantic Link panel was joined by special guest, Ramanathan V. Guha, Google Fellow, and one of the principal people behind schema.org.

• Play the Podcast (1 hour)
• Subscribe to the Monthly Podcast
• See All Semantic Link Podcasts

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A room full of interested parties gathered in Microsoft’s Silicon Valley Campus yesterday to discuss Schema.org, its implications on existing vocabularies, syntaxes, and projects, and how best to move forward with what has admittedly been a bumpy road.

Schema.org, you may recall, is the vocabulary for structured data markup that was released by Google, Microsoft, and Bing on June 2 of this year.  The schema.org website states, “A shared markup vocabulary makes easier for webmasters to decide on a markup schema and get the maximum benefit for their efforts. So, in the spirit of sitemaps.org, Bing, Google and Yahoo! have come together to provide a shared collection of schemas that webmasters can use.”  (For more history about the roll-out and initial reactions to it, here’s a summary.)

Yesterday was the first time since the Semantic Technology & Business Conference in San Francisco that community members have gathered face-to-face to discuss Schema.org in an open forum. It was a full agenda with plenty of opportunity for debate and discussion.

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A new article reports, “Microsoft has announced a deal with Israeli movie startup Jinni, licensing its semantic discovery technology to bring personalised recommendations for films and television shows to its varying array of desktop, mobile and gaming devices. The Redmond-based software giant is quiet on the details but it is likely it will use Jinni’s Discovery Engine and Entertainment Genome to help classify databases of television shows and films, sorting them into mood, plot and style to allow for easy discovery on a variety of Windows devices.” Read more

Online advertising that leverages semantic technology is expanding to the do-it-yourself model. Infolinks today is launching its self-service in-text advertising marketplace. The company says the service is designed to speed advertisers’ ability to create in-text ad campaigns, which work in the Infolinks method by revealing ads to consumers when they hover over a highlighted keyword in relevant content and opt in to see the spot on the advertiser’s landing page.

Infolinks already delivers in-text advertising campaigns across 250 billion pages of content in its network of pre-screened web sites that it says reach over 350 million unique visitors. The company says that network consists of more than 50,000 online publishers and blogging sites.

Its full page textual analysis “relies on natural language processing, machine learning and other proprietary linguistics technologies to ensure that ads are contextually relevant to the publisher’s content and what visitors are reading at any time,” says chief marketing officer Tomer Treves, as well as to avoid inappropriate brand associations.

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Microsoft is looking for a Software Development Engineer to join their SQL Server Engine Team in Redmond, WA. According to the post, “Extracting semantics and other forms of data inference at enterprise and web scale and making it easily searchable is really where the game is at today. Microsoft is locking horns with the competition and making big bets to win this challenge. We are building a new Database Search and Semantics data extraction and machine learning team inside of SQL Server (a $3.5 bil. business) with the larger vision of creating a new niche for SQL Server ‘beyond relational’ and extending out to Data Warehousing, in order to add more value to our enterprise product offerings.” Read more

The Twittersphere is buzzing about the Semantic Web at last grabbing onto the hearts and minds of the whole web community. It started off with a tweet from Juan Sequeda – a contributor to The Semantic Web Blog and a well-known figure in our area – that reads:

 

 

 

 

A follow-up message explains:

 

 

 

Follow that link and you’ll find yourself at a Bing webmaster help site that indicates Microsoft wants to play nice with whatever markup approach webmasters want to implement – microdata, microformats, or RDFa. The site mark-up overview on the page referenced says that Bing’s “crawlers do not prefer one specification over another. It’s entirely up to you to decide which of the supported specifications best fits your data.”

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