Q: What do Google, Microsoft, Yahoo!, Yandex, the New York Times, and The Walt Disney Company have in common?

A: schema.org

On June 2, 2011, schema.org was launched with little fanfare, but it quickly received a lot of attention. Now, almost exactly one year later, we have assembled a panel of experts from the organizations listed above to discuss what has happened since and what we have to look forward to as the vocabulary continues to grow and evolve, including up-to-the-minute news and announcements. The panel will take place at the upcoming Semantic Technology and Business Conference in San Francisco.

Moderated by Ivan Herman, the Semantic Web Activity Lead for the World Wide Web Consortium, the panel includes representatives from each of the core search engines involved in schema.org, and two of the largest early implementers: The New York Times and Disney. Among the topics we will discuss will be the value proposition of using schema.org markup, publishing techniques and syntaxes, vocabularies that have been mapped to schema.org, current tools and applications, existing implementations, and a look forward at what is planned and what is needed to encourage adoption and consumption.

Panelists:

	Moderator: Ivan Herman Semantic Web Activity Lead, World Wide Web Consortium		Dan Brickley Contractor, schema.org at Google
	John Giannandrea Director Engineering, Google		Peter Mika Senior Researcher, Yahoo!
	Alexander Shubin Product Manager, Head of Strategic Direction, Yandex		Mike Van Snellenberg Principal Program Manager, Microsoft/Bing
	Evan Sandhaus Semantic Technologist, New York Times Company		Jeffrey W. Preston SEO Manager, Disney Interactive Media Group

These panelists, along with the rest of the more than 120 speakers from SemTechBiz, will be on-hand to answer audience questions and discuss the latest work in Semantic Technologies. You can join the discussion by registering for SemTechBiz – San Francisco today (and save $200 off the onsite price)

 

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The schema.org official blog has announced support for enumerated lists. Adding this support allows developers using schema.org to use selected externally maintained vocabularies in their schema.org markup. According to the W3C-hosted schema.org WebSchemas wiki, “This is in addition to the existing extension mechanisms we support, and the general ability to include whatever markup you like in your pages. The focus here is on external vocabularies which can be thought of as ‘supported’ (or anticipated) in some sense by schema.org.”

In other words, “Schema.org markup uses links into well-known authority lists to clarify which particular instance of a schema.org type (eg. Country) is being mentioned.”

For example, consider a list of countries of the world. A developer could use this URI from Wikipedia to reference the USA or this one from the UN FAO, or this one from GeoNames.

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Are you wondering why your product pages don’t stand out in search results like those from Amazon (shown below) or other competing e-commerce websites? These expanded results are commonly known as Rich Snippets (as named by Google) and are the result of having your HTML structured correctly with semantic markup. Whether you’re savvy to HTML5 and the latest design trends, or you haven’t updated your website code in years, this is article will explain why it’s important you structure your data properly utilizing semantic standards.

There are a number of ways to structure your data to make it more relevant to search engines, as well as social media sites. As an e-commerce retailer it is important to understand which of these standards you should consider including in your website. You should take some time to ensure you are implementing semantic markup, and doing it correctly. It has the power to better inform potential customers with upfront knowledge prior to landing on your site. Customers can see product reviews, pricing and stock information, and even images before clicking through to your website. This can lead to increased click-through rates, improve conversions, and generally enhance your SEO objectives.

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Update: Yandex today (April 26th) reported that net income in the first three months of 2012 rose 53 percent from the same period last year to 1.26 billion rubles ($43 million) as text-based advertising revenue rose, according to Bloomberg. Sales gained 51 percent to 5.9 billion rubles.

In November Russian search engine Yandex joined Google, Microsoft Bing, and Yahoo! to collaborate on schema.org. The Semantic Web Blog recently caught up by email with Alexander Shubin, Yandex product manager and head of strategic direction, to discuss this and other developments.

The Semantic Web Blog: Can you update us about how Yandex is doing? We know it’s still leading search traffic in Russia, but do you see more competition there, and how have international expansion plans been proceeding?

Shubin: Yandex is the leader in Russia with 59 to 60 percent market share. Russia is one of the few countries where a local search engine keeps a leading position, in spite of international players’ expansion.

Last year Yandex was launched in Turkey, where we suggest 12 services (including web search) so far. According to our statistics, yandex.com.tr processes more than 1 million queries daily. Turkey is the first non-Russian speaking market for us and we have done a lot of work to deliver services that would be interesting for the local community.  The main target for Yandex in Turkey, where one search engine still keeps 90 percent of search market, is to become the Number 2 player and to deliver more local search results and services than our competitor does.

Turkey is more or less an experiment for us: If we meet our target there, we can potentially do the same on any other non-Russian speaking market. But it is too early to make any conclusions or announcements so far as we have worked in Turkey only half of year. Stay tuned!

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What’s on the markup menu for the restaurant industry?

Among the schema.org tags for marking up web pages is one for restaurants, which includes item properties for priceRange, servesCuisine, place, and menu, among others. Restaurants that use the markup language to structure their data are promised search engine optimization (SEO) benefits when hungry consumers want to see what’s on the menu at moderately-priced nearby Italian eateries, for example. They might also or alternately use the GoodRelations ontology for e-commerce to better accommodate search engines, as well as mobile and desktop apps, with service details of hours, payment options, and daily menus that are accessible in up to 50 languages.

OpenMenu has a value proposition around structured data for restaurant owners, too: Providing increased exposure to Internet, mobile and web apps, via what it aims to be a global and open standard for storing, sharing and using their menus over the Internet. The technical details are described at its OpenMenu.org site. Initially launched in 2010, it recently updated the format to Version 1.6 and currently counts about 75,000 menus as part of its landscape – 5,000 of them actively maintained and growing at a couple of thousand a week, according to CEO and founder Chris Hanscom.

Third-party developers can harness the data too, to build applications that interact with menus, like OpenMenu Search, a way for a search engine to drill down through a restaurant’s information to the menu and menu items.

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The Pew Research Center’s Project for Excellence in Journalism State of the News Media 2012 report was just published, and among the findings is that efforts by most top news sites to monetize the web in their own right are still limited. Few news companies, it reports, “have made much progress in some key new digital areas. Among the top news websites, there is little use of the digital advertising that is expected to grow most rapidly, so-called “smart,” or targeted, advertising.”

 

 

Failing to make a lot more hay from digital ads is problematic for traditional news companies given the decline in print circulation and in its ad revenue, too. The report says that in 2011, losses in print advertising dollars outpaced gains in digital revenue by a factor of roughly 10 to 1, which it calls an even worse ratio than in 2010.

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Need another reason for bringing semantic smarts to your web site? Maybe you can find it in a post at Search Engine Land, which includes a piece of a podcast from an SXSW session, and a transcription of it, featuring Google’s head of webspam team Matt Cutts (over this way).

At the session, Cutts noted that Google has been working in the last few months to level the playing field so the advantage doesn’t go to those more focused on overusing search engine optimization vs. producing great content and sites. Over the next months or few weeks it plans to announce something about this, that will involve what it’s been doing to “make GoogleBot smarter, make our relevance better, and we are also looking for those who abuse it, like too many keywords on a page, or exchange way too many links or go well beyond what you normally expect. We have several engineers on my team working on this right now.”

Take that plus the past year’s developments around the schema.org Google-Microsoft-Yahoo-Yandex collaboration (see stories like these here and here and here), and the latest playing up by Google of its continuing semantic search technology efforts (see here), and it seems there’s more and more reason more closely on semantic markup as part of a solid and truly helpful SEO strategy.

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The Open Graph protocol continues to progress: Earlier this week Facebook’s Director of Developer Relations Douglas Purdy talked about its intersection with the mobile web.

According to Purdy, more people are accessing Facebook on the mobile web than from its top native apps combined, and the game is on to help developers conquer the challenges of building for that community. One of those challenges is app discovery. At the Mobile World Congress on Monday, the company announced that it’s continuing to address the first issue with plans to extend to native Android apps the ability for Facebook’s 425 million mobile app users to discover them through Open Graph connections.

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Wikimeta, the semantic tagging and annotation architecture for incorporating semantic knowledge within documents, websites, content management systems, blogs and applications, this month is incorporating itself as a company called Wikimeta Technologies.  Wikimeta, which has a heritage linked with the NLGbAse project, last year was provided as its own web service.

Dr. Eric Charton, Ph.D, MSc at École Polytechnique de Montréal, is project leader and author of the Wikimeta code. The NLGbAse project was conducted by Charton at the University of Avignon as part of his Ph.D. Thesis.  The Semantic Web Blog recently hosted an email discussion with him to learn more about the Wikimeta architecture and its evolution.

 

The Semantic Web Blog: Tell us about the NLGBase project and Wikimeta’s relationship to it.

Charton: NLGbAse is an ontology extracted from Wikipedia. It is used in Wikimeta as a resource for semantic disambiguation. For each Wikipedia document (aka Semantic Concept), NLGbAse provides various ways of word-writing (for example, “General Motors” can be written “GM Company”, “GM”, “General Motors Corp” and so on), used for detection.

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Online publishers and other content providers have a new analytics tool to help them understand what their readers care about and use that information to better connect them to their sites’ relevant and compelling content. Launching today is Dash, based on the predictive content analytics platform Parse.ly. The technology crawls every article page for Parse.ly’s publisher-partners, and analyzes, in real time and at scale, the text to identify relevant topics to group related content together. Behind this lies natural language processing technology, which uses language queues hidden inside the text to determine its affiliated topics. To date Dash has extracted over 350,000 unique topics through all the URLs is has crawled during private beta for a healthy taxonomy of topics across the web being consumed by users.

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