Posts Tagged ‘IMDB’

Amazon Fires Up Fire TV Featuring Voice Search And Content Viewing Prediction Capabilities

retAmazon today unveiled its Fire TV streaming video device. During the announcement event in Manhattan, company vice president Peter Larsen called the $99 set top box “tiny, incredibly powerful and unbelievably simple.” For users, that power and simplicity are designed to be evident in features such as the device’s ability to project and preload the content users will want to see and to navigate via voice search.

A statement by Amazon founder and CEO Jeff Bezos reads that, “Our exclusive new ASAP (Advanced Streaming and Prediction) feature predicts the shows you’ll want to watch and gets them ready to stream instantly.” Movies or tv shows are buffered for playback before users hit the play button, the company says; those choices are made by analyzing users’ watch lists and recommendations. As users’ viewing habits change, the caching prediction algorithm will adjust accordingly, and personalization capabilities should get better over time as buyers use the Fire TV device.

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Hooray For Semantic Tech In The Film Industry

Image courtesy popturfdotcom/Flickr

Image courtesy popturfdotcom/Flickr

The story below features an interview with Kurt Cagle, Information Architect Avalon Consulting, LLC, who is speaking this week at the Semantic Technology And Business Conference in NYC. You can save $200 when you register for the event before October 2.

 

New York has a rich history in the film industry.  The city was the capital of film production from 1895 to 1910. In fact, a quick trip from Manhattan to Queens will take you to the former home of the Kaufman Astoria Studios, now the site of the American Museum of the Moving Image. Even after the industry moved shop to Hollywood, New York continued to hold its own, as evidenced by this Wikipedia list of films shot in the city.

 

semtechnyclogoThis week, at the Semantic Technology & Business Conference, a session entitled Semantics Goes Hollywood will offer a perspective on the technology’s applicability to the industry for both its East and West Coast practitioners (and anyone in between). For that matter, even people in industries of completely different stripes stand to gain value: As Kurt Cagle, Information Architect at Avalon Consulting, LLC, who works with many companies in the film space, explains, “A lot of what I see is not really a Hollywood-based problem at all – it’s a data integration problem.”

 

Here’s a spotlight on some of the points Cagle will discuss when he takes the stage:

 

  • Just like any enterprise, studios that have acquired other film companies face the challenge of ensuring that their systems can understand the information that’s stored in the systems of the companies they bought. Semantic technology can come to the fore here as it has for industries that might not have the same aura of glamour surrounding them. “Our data models may not be completely in sync but you can represent both and communicate both into a single composite data system, and a language like SPARQL can query against both sets to provide information without having to do a huge amount of re-engineering,” Cagle says.

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Rhizomer Wants Users To Revel In Working With Linked Data

How can users – especially those who don’t have deep roots within the semantic web community – make Linked Data useful to them? It’s not always apparent, says Roberto Garcia, a mind behind the Rhizomik initiative that has produced a tool called Rhizomer. Its approach is to take advantage of the structures that organize data (schemas, thesaurus, ontologies, and so on) and use them to drive the  automatic generation of user interfaces tailored to each semantic data-set to be explored.

A project led by members of the GRIHO (Human-Computer Interaction and data integration) research group that is assigned to the Computer Science and Industrial Engineering Department of the University of Lleida, where Garcia is associate professor, the initiative also has led to projects including ReDeFer, a set of tools to move data in an out of the Semantic Web, and various ontologies for multimedia, e-business and news. As for Rhizomer, it accommodates publishing and exploration of Linked Data, with data-set exploration helped by features including an overview to get a full picture of the data-set at hand; zooming and filtering to zoom in on items of interest and filter out uninteresting items; details to arrive at concrete resources of interest; and visualizations tailored to the kind of resource at hand, as the site explains.

In other words, its features are “organized so they support the typical data analysis tasks,” he says. “We are more a contributor from the user perspective of how you interact with that data.”

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