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Linked data context strategy
 

Linked data context strategy

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Presentation to open data week

Presentation to open data week

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  • from its beginnings in the 1920s in radio. Now 10 national radio channels and more than 40 in the nations and regions
  • TV broadcast since the 1930s
  • On the Web since 1994. that's a lot of web-history too, we've been doing this for a while
  • The BBC Music Website has a content-rich offering. Not surprising when you have 10 major national radio stations, many more local stations, and a lot of music programmes in your TV schedule. But it doesn't mean you have to manage everything from bios to discography from scratch
  • The BBC Music Website has a content-rich offering. Not surprising when you have 10 major national radio stations, many more local stations, and a lot of music programmes in your TV schedule. But it doesn't mean you have to manage everything from bios to discography from scratch
  • The BBC Music Website has a content-rich offering. Not surprising when you have 10 major national radio stations, many more local stations, and a lot of music programmes in your TV schedule. But it doesn't mean you have to manage everything from bios to discography from scratch
  • Data is a first-class citizen
  • Working on the World Service audio archive three years of continuous audio
  • Speech recognition -> automated transcripts + topic identification (at scale) Kiwi is a framework aimed at automatically identifying topics in speech radio programmes, with topic identifiers being drawn from Linked Open Data sources such as DBpedia. In order to generate such topics in a reasonable time for large programme archives, we built a processing infrastructure distributing computations on cloud resources (e.g. Amazon EC2). We used this infrastructure to automatically tag the entire BBC World Service archive (70,000 programmes) in around two weeks.

Linked data context strategy Linked data context strategy Presentation Transcript