A new release out of Freebase reports, “When we publicly launched Freebase back in 2007, we thought of it as a ‘Wikipedia for structured data.’ So it shouldn’t be surprising that we’ve been closely watching the Wikimedia Foundation‘s project Wikidata since it launched about two years ago. We believe strongly in a robust community-driven effort to collect and curate structured knowledge about the world, but we now think we can serve that goal best by supporting Wikidata — they’re growing fast, have an active community, and are better-suited to lead an open collaborative knowledge base. So we’ve decided to help transfer the data in Freebase to Wikidata, and in mid-2015 we’ll wind down the Freebase service as a standalone project. Freebase has also supported developer access to the data, so before we retire it, we’ll launch a new API for entity search powered by Google’s Knowledge Graph.” Read more
Posts Tagged ‘Freebase’
In Part 3 of this series, Jarek Wilkiewicz details activating the small Knowledge Graph (built on Cayley) with Schema.org Actions. He begins by explaining how Actions can be thought of as a combination of “Entities” (things) and “Affordances” (uses). As he defines it, “An affordance is a quality of an object, or an environment, which allows an individual to perform an action.”
For example, an action, might be using the “ok Google” voice command on a mobile device. The even more specific example that Wilkiewicz gives in the video (spoiler alert) is that of using the schema.org concept of potentialAction to trigger the playing of a specific artist’s music in a small music store’s mobile app.
To learn more, and to meet Jarek Wilkiewicz and his Google colleague, Shawn Simister, in person, register for the Semantic Technology & Business Conference where they will present “When 2 Billion Freebase Facts is Not Enough.”
Barak Michener, Software Engineer, Knowledge NYC has posted on the Google Open Source Blog about “Cayley, an open source graph database.”: “Four years ago this July, Google acquired Metaweb, bringing Freebase and linked open data to Google. It’s been astounding to watch the growth of the Knowledge Graph and how it has improved Google search to delight users every day. When I moved to New York last year, I saw just how far the concepts of Freebase and its data had spread through Google’s worldwide offices. I began to wonder how the concepts would advance if developers everywhere could work with similar tools. However, there wasn’t a graph available that was fast, free, and easy to get started working with. With the Freebase data already public and universally accessible, it was time to make it useful, and that meant writing some code as a side project.”
The post continues: “Cayley is a spiritual successor to graphd; it shares a similar query strategy for speed. While not an exact replica of its predecessor, it brings its own features to the table:RESTful API, multiple (modular) backend stores such as LevelDB and MongoDB, multiple (modular) query languages, easy to get started, simple to build on top of as a library, and of course open source. Cayley is written in Go, which was a natural choice. As a backend service that depends upon speed and concurrent access, Go seemed like a good fit.”
Straight out of Google I/O this week, came some interesting announcements related to Semantic Web technologies and Linked Data. Included in the mix was a cool instructional video series about how to “Build a Small Knowledge Graph.” Part 1 was presented by Jarek Wilkiewicz, Knowledge Developer Advocate at Google (and SemTechBiz speaker).
Wilkiewicz fits a lot into the seven-and-a-half minute piece, in which he presents a (sadly) hypothetical example of an online music store that he creates with his Google colleague Shawn Simister. During the example, he demonstrates the power and ease of leveraging multiple technologies, including the schema.org vocabulary (particularly the recently announced ‘Actions‘), the JSON-LD syntax for expressing the machine readable data, and the newly launched Cayley, an open source graph database (more on this in the next post in this series).
Steve O’Hear of Tech Crunch reports, “Online dating startup Loveflutter soft-launched in New York and the UK early last year with a site that aimed to match prospective dates based on shared interests. So far, so like nearly every legacy dating service. But what made the UK company potentially stand out — ignoring the silly launch campaign that required users to pass an ‘interesting’ test before signing up — was its use of Google-owned Freebase, the open database of people, places and things that powered the interest-graph behind Loveflutter’s match-making capability. Harnessing the same underlying semantic technology, Loveflutter is rebooting somewhat today with a mobile-first approach aiming to be a more ‘quirky’ Tinder.” Read more
Just like these:
What to Watch:
The April Fools: a late 60’s romantic comedy starring Jack Lemmon and Catherine Deneuve
April Fool’s Day: called a “gory, darkly comic cult favorite” from the late ‘80s.
April Fools: The day belongs to the slasher flicks, this one centering on the accidental killing of a teen, its coverup, and subsequent murders of those responsible for the original incident.
What To Listen To:
Sounds of Silence: The Simon & Garfunkel release includes the song, April Come She Will. And after this winter, that’s something a lot of people will be very happy to hear.
Ikuya Yamada, co-founder and CTO of Studio Ousia, the company behind Linkify – the technology to automatically extract certain keywords and add intelligent hyperlinks to them to accelerate mobile search – recently sat down with The Semantic Web Blog to discuss the company’s work, including its vision of Semantic AR (augmented reality).
The Semantic Web Blog: You spoke at last year’s SEEDS Conference on the subject of linking things and information and the vision of Semantic AR, which includes the idea of delivering additional information to users before they even launch a search for it. Explain your technology’s relation to that vision of finding and delivering the information users need while they are consuming content – even just looking at a word.
Yamada: The main focus of our technology is extracting accurately only a small amount of interesting keywords from text [around people, places, or things]. …We also develop a content matching system that matches those keywords with other content on the web – like a singer [keyword] with a song or a location [keyword] with a map. By combining keyword extraction and the content matching engine, we can augment text using information on the web.
Last week news came from SindiceTech about the availability of its SindiceTech Freebase Distribution for the cloud (see our story here). SindiceTech has finalized its separation from the university setting in which it incubated, the former DERI institute, now a part of the Insight Center for Data Analytics, and now is re-launching its activities, with more new solutions and capabilities on the way.
“The first thing was to launch the Knowledge Graph distribution in the cloud,” says CEO Giovanni Tummarello. “The Freebase distribution showcases how it is possible to quickly have a really large Knowledge Graph in one’s own private cloud space.” The distribution comes instrumented with some of the tools SindiceTech has developed to help users both understand and make use of the data, he says, noting that “the idea of the Knowledge Graph is to have a data integration space that makes it very simple to add new information, but all that power is at risk of being lost without the tools to understand what is in the Knowledge Graph.”
Included in the first round of the distribution’s tools for composing queries and understanding the data as a whole are the Data Types Explorer (in both tabular and graph versions), and the Assisted SPARQL Query Editor. The next releases will increase the number of tools and provide updated data. “Among the tools expected is an advanced Knowledge Graph entity search system based on our newly released SIREn search system,” he says.
With the support of Google Developers, SindiceTech has announced the availability of its Freebase Distribution for the cloud. According to SindiceTech, “Freebase is an amazing data resource at the core of Google’s ‘Knowledge Graph’. Freebase data is available for full download but today, using it ‘as a whole’ is all but simple. The SindiceTech Freebase distribution solves that by providing all the Freebase knowledge preloaded in an RDF specific database (also called triplestore) and equipped with a set of tools that make it much easier to compose queries and understand the data as a whole.”
Your Own Private Freebase
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