Posts Tagged ‘Google Knowledge Graph’

Analysis of Brand-Related Knowledge Graph Search

Depiction of entities connected in the Google Knowledge GraphIn a recent post on the Moz.com blog, Dr. Peter J. Myers wrote about an apparent change that took place on the morning of July 19th that appears to be related to how Google processes Knowledge Graph entities. “My gut feeling is that Google has bumped up the volume on the Knowledge Graph, letting KG entries appear more frequently,” Myers posted.

The morning of July 19th was specifically identified because, Myers explained, “Overnight, the number of queries we track in the MozCast 10K beta system that show some kind of Knowledge Graph jumped from 17.8% to 26.7%, an increase of over 50%. This was not a test or a one-day fluke — here’s a graph for all of July 2013 (as of August 20th, the number has remained stable near 27%).

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Late-Breaking Program Additions for Semantic Technology & Business Conference

The Semantic Technology & Business Conference begins in a few short days. If you haven’t registered yet, it’s not too late, and if you haven’t looked at the program recently, be sure to check out some of these exciting late-breaking additions…

Photo of Jason DouglasKEYNOTE:
What Google is Doing with Structured Data
Jason Douglas, Group Product Manager, Knowledge Graph, Google

Photos of Dan Brickley, R.V. Guha, Sandro HawkeHOT TOPIC PANEL:
WebSchemas: Schema.org and Vocabulary Collaboration

Dan Brickley, Developer Advocate, Google
R.V. Guha, Google Fellow, Google
Sandro Hawke, W3C Technical Staff, W3C/MIT

(More panelists TBA)


BREAKOUT SESSIONS:

Building Your SmartData Accelerator
Robert Kruse, Managing Partner, SmartDataAccelerator
Gene Mishchenko, Lead Information Architect, Standard & Poor’s Ratings Services

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Google Debuts Data Highlighter: An Easy Way Into Structured Data

Structured data makes the Web go around. Search engines love it when webmasters mark up page content. Google’s rich snippets, for instance, leverages sites’ use of microdata (preferred format), or RDFa or microformats: It makes it possible to highlight in a few lines specific types of content in search results, to give users some insight about what’s on the page and its relationship to their queries – prep time for a recipe, for instance.

Plenty of web sites generated from structured data haven’t added HTML markup to their pages, though, so they aren’t getting the benefits that come with search engines understanding the information on those web pages.

Maybe that will change, now that Google has introduced Data Highlighter, an easy way to tell its search engine about the structured data behind their web pages. A video posted by Google product management director Jack Menzel gives the snapshot: “Data Highlighter is a point- and-click tool that allows any webmaster to show Google the patterns of structured data on their pages without modifying the pages themselves,” he says.

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The Semantic Link – September, 2012

Paul Miller, Bernadette Hyland, Ivan Herman, Eric Hoffer, Andraz Tori, Peter Brown, Christine Connors, Eric Franzon

On Friday, September 15, a group of Semantic Technology 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 Big Data and Semantics, as well as some discussion of general trends in the Semantic Technology space.
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So Long, and Thanks for All The Triples – OKG Shuts Down

I take no pleasure in being right.

Earlier this week, I speculated that the Open Knowledge Graph might be scaled back or shut down. This morning, I awoke to a post by the project’s creators, Thomas Steiner and Stefan Mirea announcing the closing of the OKG.

Tweet by @tommyac: Shutting Down the OKG

The Open Knowledge Graph was, according to its creators, “an attempt to [open] up the Google Knowledge Graph by means of crowdsourcing;”  a project that used the power of the crowd to create an API for Google’s Knowledge Graph.  People were invited to install a browser plug-in that, as they used Google Search, would scrape the Knowledge Graph and store discovered facts in a publicly available resource (query-able through a SPARQL endpoint). With more than 500 million objects in the Knowledge Graph, representing 3.5 billion facts and relationships, the most practicable method for crawling may well be the crowd-sourced approach, and the OKG set out to test that theory.

Why was it shut down?

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OKG – Growing Quickly and Where To From Here?

Recently, we reported about the Open Knowledge Graph project, an effort to crowd-source a Google Knowledge Graph API. The project seems to have taken off quickly, with over 2,500,000 triples collected as of this writing (and climbing quickly). We spotted this post on Google+:

G+ post by Thomas Steiner

The last line, about the “public non-service announcement” left us wondering…is the project under pressure to scale back or worse, to shut down? Is this work competitive with Google or does it hurt their business interests in some way? We have been watching, and haven’t seen any announcement yet, but the post certainly left us waiting for the distinct sound of a dropping shoe. Then we saw this follow-up, with ominous Latin:

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Get In On CrowdSourcing An Open Knowledge Graph API

Last week The Semantic Web Blog continued its coverage of Google’s Knowledge Graph with the news of its worldwide launch for English-language users. This week we’ve learned about a paper submitted to the 1st International Workshop on Knowledge Extraction and Consolidation from Social Media (KECSM2012), which takes place in November in Boston, about work underway on the topic of crowd-sourcing an Open Knowledge Graph API.

The paper, authored by Thomas Steiner of the Universitat Politècnica de Catalunya in Barcelona and Stefan Mirea of Jacobs University, Bremen, Germany, and currently pending review, proposes that the crowd step in where Google has so far failed to tread when it comes to creating an interface to the Knowledge Graph of more than 500 million objects – landmarks, celebrities, cities, sports teams, buildings, movies, celestial objects, works of art, and more – and 3.5 billion facts about and relationships between them. There is no publicly available list of all those objects, and, say the authors, even if there were, “it would not be practicable (nor allowed by the terms and conditions of Google) to crawl it.” Hence, the crowd-sourcing approach.

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Schema.org, Wikidata, Google Knowledge Graph – Two Great Causes and a Symptom

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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Gooey Search: Can Google Searches Be Smarter?

Facebook IPO not panning out for you? Well, there are other opportunities out there where you can get in on the ground floor for a lot less.

Take a Kickstarter project dubbed Gooey Search – it’s trying to get funding of at least $125,000 by June 8 for its consumer-facing technology, based on latent semantic analysis (LSA). It has as its goal delivering the best and most accurate Google search results in what it calls a Gooey Graph real-time diagram of discovered network concepts, while keeping user privacy intact.

With the recent announcement of Google’s Knowledge Graph, do we need another way to probe the leading search engine? Ed Heinbockel, founder, president and CEO of Visual Purple, is betting we do. “To me [what Google’s done] validates the approach we’ve gone down in terms of visualizing and letting you navigate search. It’s the same direction. The question is can we provide value to that equation,” he says.

Where he sees the opportunity: “What drives us a lot is that we’re very concerned about the direction that privacy and the Internet are going,” he says. “And we think the quality of the results they give back to users isn’t in the order it should be.”

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