Back in September WolframAlpha unveiled its Personal Analytics for Facebook. With Personal Analytics, which The Semantic Web Blog covered here, you could visualize your networks, friends and social activities – and late last month it was updated to give even more insight into you and your Facebook linkages.

Not in the same way that Facebook does with its recently-launched Graph Search (see our story here). It’s not, for example, going to tell you who else out there likes running and lives in Nassau County, NY, or your favorite books that your friends also have read. In its initial debut, Personal Analytics for Facebook would show you things like gender distribution among your friends, or their common names, or who you share the most friends with.

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Josh Constine of Tech Crunch reports, “Yandex begged Facebook not to shut down its social search app Wonder that launched [last week]. But the explanation Yandex’s lawyers sent us for why it’s compliant with Facebook’s policies didn’t stop Facebook from blocking all API calls from Wonder, Yandex confirms. Facebook tells me it’s now discussing policy with Yandex. The move follows a trend of Facebook aggressively protecting its data. Wonder has, or should I say had, big potential. When I broke the news that Yandex was readying Wonder earlier this month, I detailed how the voice-activated social search app for iOS let people see what local businesses friends had visited or taken photos at, what music they’d been listening to, and what news they had been reading. It essentially reorganized Facebook’s data into a much more mobile, discoverable format.” Read more

Courtesy: Flickr/LadyDragonflyCC <3

Yesterday we began our look back at the year in semantic technology here. Today we continue with more expert commentary on the year in review:

Ivan Herman, W3C Semantic Web Activity Lead:

I would mention two things (among many, of course).

•  Schema.org had an important effect on semantic technologies. Of course, it is controversial (role of one major vocabulary and its relations to others, the community discussions on the syntax, etc.), but I would rather concentrate on the positive aspects. A few years ago the topic of discussion was whether having ‘structured data’, as it is referred to (I would simply say having RDF in some syntax or other), as part of a Web page makes sense or not. There were fairly passionate discussions about this and many were convinced that doing that would not make any sense, there is no use case for it, authors would not use it and could not deal with it, etc. Well, this discussion is over. Structured data in Web sites is here to stay, it is important, and has become part of the Web landscape. Schema.org’s contribution in this respect is very important; the discussions and disagreements I referred to are minor and transient compared to the success. And 2012 was the year when this issue was finally closed.
•  On a very different aspect (and motivated by my own personal interest) I see exciting moves in the library and the digital publishing world. Many libraries recognize the power of linked data as adopted by libraries, of the value of standard cataloging techniques well adapted to linked data, of the role of metadata, in the form of linked data, adopted by journals and soon by electronic books… All these will have a profound influence bringing a huge amount of very valuable data onto the Web of Data, linking to sources of accumulated human knowledge. I have witnessed different aspects of this evolution coming to the fore in 2012, and I think this will become very important in the years to come.

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Courtesy: Flickr/zoetnet

As we close out 2012, we’ve asked some semantic tech experts to give us their take on the year that was. Was Big Data a boon for the semantic web, or is the opportunity to capitalize on the connection still pending? Is structured data on the web not just the future but the present? What sector is taking a strong lead in the semantic web space?

We begin with Part 1, with our experts listed in alphabetical order:

John Breslin, lecturer at NUI Galway, researcher and unit leader at DERI, creator of SIOC, and co-founder of Technology Voice and StreamGlider:
I think the schema.org initiative really gaining community support and a broader range of terms has been fantastic. It’s been great to see an easily understandable set of terms for describing the objects in web pages, but also leveraging the experience of work like GoodRelations rather than ignoring what has gone before. It’s also been encouraging to see the growth of Drupal 7 (which produces RDFa data) in the government sector: Estimates are that 24 percent of .gov CMS sites are now powered by Drupal.

Martin Böhringer, CEO & Co-Founder Hojoki:

For us it was very important to see Jena, our Semantic Web framework, becoming an Apache top-level project in April 2012. We see a lot of development pace in this project recently and see a chance to build an open source Semantic Web foundation which can handle cutting-edge requirements.

Still disappointing is the missing link between Semantic Web and the “cool” technologies and buzzwords. From what we see Semantic Web gives answers to some of the industry’s most challenging problems, but it still doesn’t seem to really find its place in relation to the cloud or big data (Hadoop).

Christine Connors, Chief Ontologist, Knowledgent:

One trend that I have seen is increased interest in the broader spectrum of semantic technologies in the enterprise. Graph stores, NoSQL, schema-less and more flexible systems, ontologies (& ontologists!) and integration with legacy systems. I believe the Big Data movement has had a positive impact on this field. We are hearing more and more about “Big Data Analytics” from our clients, partners and friends. The analytical power brought to bear by the semantic technology stack is sparking curiosity – what is it really? How can these models help me mitigate risk, more accurately predict outcomes, identify hidden intellectual assets, and streamline business processes? Real questions, tough questions: fun challenges!

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Image courtesy of Pixomar / FreeDigitalPhotos.net

Search engine Yandex this week added personalization capabilities for Eastern European users’ search results. It analyses their online behavior including their search history, clicks on search results, and language preferences for its suggestions.

Kaliningrad is the name of the latest edition of Yandex’ personalized search engine. It uses that information to make suggestions and rank search results individually tailored for each user, showing book lovers that do a search on Harry Potter links related to the books, while those who prefer movies get film-oriented link fare.

Semantic markup didn’t play a role in the development of the technology, Yandex technical product manager and developer advocate Alexander Shubin says. But it can be applied for future enhancements, he notes. The new personalization reportedly leverages Yandex’ machine-learning-based query and search results algorithms “Spectrum” and “MatrixNet” to train the results to users’ requirements.

That said, Yandex has been diving deeper into semantic web waters. Beyond taking advantage of sites using schema.org markup to improve the display of search results, Shubin provides this update: “We enhanced our markup validator to understand all the markup (Open Graph, schema.org, RDFa, microformats). It is universal now (as Google’s or Bing’s instruments).”

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Search engine Yandex, which like Google, Bing and Yahoo takes advantage of sites using schema.org markup to improve the display of search results, today released a search app for the iPad. The other major search providers have already accounted for the iPad in their search portfolios.

According to the release announcing the news, the Yandex Search App offers a tablet-optimized, intuitive interface marked by the ability for users to open pages as tabs in a browser – as many as they wish – so they can switch between tabs and search results within one screen.

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Schema.org has announced that GoodRelations is now fully integrated into the markup vocabulary backed by Google, Yahoo!, Bing/Microsoft, and Yandex (read our past schema.org coverage). GoodRelations is the e-commerce vocabulary that has been developed and maintained by Martin Hepp since 2002 (previous coverage).

In the official announcement, R.V. Guha (Google) says, “Effective immediately, the GoodRelations vocabulary (http://purl.org/goodrelations/) is directly available from within the schema.org site for use with both HTML5 Microdata and RDFa. Webmasters of e-commerce sites can use all GoodRelations types and properties directly from the schema.org namespace to expose more granular information for search engines and other clients, including delivery charges, quantity discounts, and product features.”

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I was toying with another title for this post – Yet Another Perfect Storm, but I think that particular metaphor (although appropriate here) has been somewhat over done.  So what sparked this one then?

I am on the long flight back from the Semantic Tech & Business Conference in San Francisco to the good ol’ UK, to see how they got on with the Queen’s Diamond Jubilee festivities.  I am reflecting on what my week at the conference has told me.  It has told me that things are a changing – I got that impression last year too, but more so this year.  Obviously, from the title of this post, it has something to do with Schema.org, Wikidata, and the Google Knowledge Graph….

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Panelists: Ivan Herman (Moderator), Dan Brickley, R.V. Guha, Peter Mika, Steve Macbeth, Jeffrey Preston, Alexandre Shubin, Evan Sandhaus

A packed room at the Semantic Tech & Business Conference in San Francisco played host to the much-anticipated Schema.org panel on Wednesday morning. As W3C semantic activity lead and moderator Ivan Herman had hoped (see this article), the discussion didn’t get bogged down in a duel between RDFa and microdata, but rather emphasized some important accomplishments of the last year and looked forward to future work.

As Herman put it, the only discussion he wanted to have around RDFa was to announce that the proposed RDFa 1.1 recommendations are expected to be published as official W3C standards Thursday, and that there had been a lot of interaction with the schema.org folks to make this useable for them as well.

Wednesday’s panel was composed of: Dan Brickley, of Schema.org at Google;  R.V. Guha of Google;  Steve Macbeth of Microsoft; Peter Mika ofYahoo!; Jeffrey W. Preston of Disney Interactive Media Group; Evan Sandhaus of The New York Times Company; and Alexander Shubin of Yandex.

Here are highlights of what took place:

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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)