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The television experience enhanced by online social and semantic data
 

The television experience enhanced by online social and semantic data

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    The television experience enhanced by online social and semantic data The television experience enhanced by online social and semantic data Presentation Transcript

    • The television experience enhanced by online social and semantic data Dr Lyndon Nixon, STI International with Lora Aroyo (VUA) & Libby Miller (BBC)
    • NoTube project
      • European Union funded Integrated Project
      • started March 2009, ending February 2012
      • Key ideas:
        • Integrating TV & Web with help of data
        • Putting the user back in the driving seat
        • TV is not bound to the device
    • NoTube partners
    • Rest of my talk
      • What is the future TV experience?
      • How our social profiles will be part of TV
      • Leveraging online semantic data
      • Enhancing TV with new user-centric applications
    • What is the future of television?
    • Our digital lives & social profiles
      • Our real lives are increasingly paralleled by a virtual life in social networks
        • Share what we are doing, what we are watching, what we like and don‘t like…
    • TV and the Social Web
      • Today we see „naive“ bridging apps between the two worlds
        • Post to Facebook or Twitter from your TV
        • Share your TV preferences / make recommendations to friends
    • Bridging TV and the Web
      • If content over TV and the Web is converging, why not metacontent like my personal interests or content consumption activity?
    • Metadata on TV and on the Web
      • TV metadata includes content descriptions (title, summary, genre, concepts), esp. EPG data
      • Different formats e.g. TVAnytime, BMF, EBUCore
      • Web metadata is often missing
        • Little uptake for HTML META tag or microformats
        • Naive textual matching the usual approach
        • Some NLP/clustering
        • Some media formats have simple metadata associated with them
        • Some efforts towards more metadata, like schema.org
      TV Content Creator 2 TV Content Creator 3 TV Archive 1 TV Archive 2 n+1 NoTube Broadcaster 1 Broadcaster 2 Broadcaster 3 TV Content Creator 1
    • Common models
      • Shared data models, vocabularies, identification schemes are needed
    • Linked Data themeMusicComposer
    • LUPedia concept extraction tool
    • Enhancing EPG metadata
    • Deriving an user profile
      • NoTube is generating user profiles from data the user creates on the Social Web, and in this way facilitating a personalised TV experience without an intrusive user profiling process.
    • Linking social and semantic data on TV and the Web
    • Deriving an user profile (2)
    • Recommendation of TV programmes
    • Personalised news (RAI)
    • Personalised EPG & advertising (Stoneroos, Thomson)
    • Uncovering long tail content (BBC)
    • The NoTube ecosystem
      • NoTube applications
      • are driven in the back end by
      • NoTube services
      • Concept extraction
      • EPG enrichment
      • User profile generation
      • Recommendation engines
    • Thank you for your attention
      • Follow NoTube at notube.tv and @notube
      • See the demos at IBC, Sept 8-13
        • Connected World, Hall 13, Stand 202
      • Or online videos & docs at notube.tv/showcases
      • Interested in NoTube technology exploitation
        • Contact me: [email_address]