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Seevl is opening up their music recommendation engine to developers through a JSON-LD API.
Today another music startup is throwing its hat into the music meta-data ring. Dublin-based Seevl has released an API for developers to let them easily add..
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Highly contextual apps rely on a having good quality background knowledge about the real world. Combining Freebase data with Android Wear could help users get  the right information at the right time about the entities that they care about.
 
I am working on an Android Wear codelab. I tried the RecipeAssistant example and it works perfect. Now I am adding additional features using +Freebase  and +YouTube  APIs.
I will give this codelab next April 10, in an event organized by the +GDG Santa Fe , and after that I will release the code of the project and codelab slides.
#gde #youtube #freebase   #techtalk   #opensourcecode
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Research using Freebase data grew again in 2013. We cataloged 68 new papers (versus 59 in 2012) in our +Mendeley group (http://goo.gl/qhLOq).

Trending topics of research for 2013 included natural language processing (11 papers), relation extraction (10) and entity linking (6). Linked data (6) and RDF (3) continued to rank highly as they did in 2012.

If you're working on a research project that touches on any of these topics you should take a look at the Freebase RDF data dump (https://developers.google.com/freebase/data). Its free with attribution and contains high-quality, structured data about 42M+ real-world entities.
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If you've ever wondered how Google determines which data to trust in Freebase, this research paper gives a rare glimpse into one of the algorithms used to estimate the quality of individual contributions.

Paper: http://www.ipeirotis.com/wp-content/uploads/2014/01/wsdm2014-cqual1.pdf
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Great posts guys but I have a question. Does anybody know how google treats websites that uses free base content? We all know that Google is big on sites with original content but in the case of free base, I'm not sure what the intent is. Thoughts anyone?
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Have you ever wanted to show real-world entities as cards on a map the way the new Google Maps interface does? Make sure to check out this short video from +Josh Livni and +Ewa Gasperowicz where they show how you can combine the Freebase APIs with the +Google Maps API in your web app.

Live demo: http://googleknowledge.github.io/FreebaseMaps/
Source code: https://github.com/googleknowledge/FreebaseMaps
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+Denny Vrandečić has built qLabel; an open source JavaScript library that looks up and displays the labels of entities marked-up in a Web site in the language of the user viewing it. Every entity is marked up with a URI, which is then used to look up the labels in the requested language. You can use any URI that supports look-up using Linked Data standards, in particular +Freebase and Wikidata but you can also publish your own set of entities and labels as RDF or JSON-LD and use them — and at the same time release them to the Semantic Web!

Blog post: http://google-opensource.blogspot.com/2014/04/qlabel-multilingual-content-without.html
Documentation: http://googleknowledge.github.io/qlabel/
Source Code: https://github.com/googleknowledge/qlabel/
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Great job +Denny Vrandečić - very interesting stuff!
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While you can download the Freebase Data Dumps in N-triples RDF format at https://developers.google.com/freebase/data many developers find them a bit intimidating due to their large size (250GB+ uncompressed) and format. We’d like to help. In this pilot “Making Sense of The Graph”   #GDL  episode,  +Jarek Wilkiewicz  and +Dan Brickley  introduce you to a simple way to experiment with Freebase RDF Data Dumps with SPARQL and  +OpenLink Software  Virtuoso by using a pre-packaged distribution created by  +Sindicetech LTD. You can find the  +Google Cloud Platform  GCE image and instructions at: 
https://groups.google.com/forum/#!forum/sindicetech-freebase and more information at http://www.sindicetech.com/freebase.  
Please let us know what you think and please suggest topics for future “Making Sense of The Graph” episodes you’d like to see us cover. 

#freebase   #googlecloudplatform   #rdf   
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Seevl has built a recommendation engine for obscure hipster bands you've probably never heard of.
 
Yes, #Freebase  data can be used to hipster-ify yourself, give a try at our hack from this week-end :-)

http://hipster.seevl.fm - build via the +seevl API, using data from +Freebase +Wikipedia +MusicBrainz and more
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This paper from Microsoft Research explains how they use Freebase data and user click logs to create personalized recommendations for related entities like the ones you see in Google's Knowledge Graph.

Paper: http://www.cs.uiuc.edu/~hanj/pdf/wsdm14_xyu2.pdf
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Tomas Mikolov, +Ilya Sutskever+Kai Chen  +Greg Corrado and +Jeff Dean recently demonstrated at the NIPS conference how they are using deep learning to cluster semantically related terms together.

Slide deck: http://goo.gl/j234Px
Paper: http://arxiv.org/pdf/1310.4546.pdf

One of the results of their research is a dataset of 1.4 million entity vectors using Freebase IDs to model real-world entities: https://code.google.com/p/word2vec/#Pre-trained_entity_vectors_with_Freebase_naming

Using this dataset you can easily compute the similarity between any of the 1.4 million entities based on how they were used in a 100 billion word corpus of news articles. You can also look up an entity and see which other entities are the most semantically related to it.
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interesting that there are not active verbs - ie. falling, drawing, etc.
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