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NoTube:  Linking TV & (Social) Web <ul><li>Lora Aroyo </li></ul><ul><li>http://www.cs.vu.nl/~laroyo/   </li></ul><ul><li>h...
 
Approach <ul><li>Use the strong points of bipolar cultures:  </li></ul><ul><li>TV world:  </li></ul><ul><ul><li>proprietar...
Goals <ul><li>Integrating TV & Web with help of semantics </li></ul><ul><ul><li>Using semantics (linked open data) to open...
High-level architecture
Use of Linked Open Data (LOD) <ul><li>DBPedia, Freebase, WordNet(s), TV genre typologies, TV Anytime, BBC Programme ontolo...
   BBC MMVIII
http://www.bbc.co.uk/programmes/b00c06n2.rdf
Examples: TV Metadata & Vocabularies <ul><li>(Live) data sources:  </li></ul><ul><ul><li>Online TV guides, XMLTV </li></ul...
 
Where is the User’s Perspective? Image credits: Dan Brickley
Image credits: Tim Berners-Lee, Ian Davis
…  in Distributed Context(s) Image credits: Dan Brickley
Social Web as Data Silo(s) image from pidgintech.com
Isolated Communities of  Users & Data image from pidgintech.com
Ways to Connect These Islands? image from pidgintech.com
 
Facebook Open Graph is an attempt to map all the complex interactions existing between you, your friends and the content y...
User Activity Streams <ul><li>Standard representation </li></ul><ul><ul><li>based on OpenSocial </li></ul></ul><ul><li>Acc...
Activity Streams http://xmlns.notu.be/aair/
User Profiling <ul><li>Services for generating user preferences </li></ul><ul><ul><li>“ Beancounter” </li></ul></ul><ul><u...
FOAF (Friend-of-a-Friend)
Weighted Interests http://xmlns.notu.be/wi
Weighted Interests
Personalization & Recommenders <ul><li>Collaborative recommenders, e.g.  </li></ul><ul><ul><li>preferences of friends; gro...
Internet TV in Social Web  © Libby Miller, BBC
 
 
 
 
 
“ We are building a  web  where the default is  Social .” TV
Demonstrator: Personalized News
Demonstrator: Personalized TV guide
Demonstrator: TV & Social Web
Partners <ul><li>Research </li></ul><ul><li>Broadcast & Telecommunication </li></ul><ul><li>Industry </li></ul><ul><li>Dis...
Acknowledgements <ul><li>NoTube partner team, e.g.  </li></ul><ul><ul><li>Libby Miller, Vicky Buser (BBC) </li></ul></ul><...
http://notube.tv   <ul><li>Watch videos to see how NoTube technologies work: </li></ul><ul><li> http://vimeo.com/10553773 ...
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EuroITV2010: Linking TV and (Social) Web: NoTube Use Case

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This is a presentation at the Workshop on Future TV, at the EuroITV2010 Conference, Tampere, Finland

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EuroITV2010: Linking TV and (Social) Web: NoTube Use Case

  1. 1. NoTube: Linking TV & (Social) Web <ul><li>Lora Aroyo </li></ul><ul><li>http://www.cs.vu.nl/~laroyo/ </li></ul><ul><li>http:// www.notube.tv </li></ul>
  2. 3. Approach <ul><li>Use the strong points of bipolar cultures: </li></ul><ul><li>TV world: </li></ul><ul><ul><li>proprietary standards, restricted access, paid content </li></ul></ul><ul><li>Web world: </li></ul><ul><ul><li>open standards, universal access, free content </li></ul></ul>
  3. 4. Goals <ul><li>Integrating TV & Web with help of semantics </li></ul><ul><ul><li>Using semantics (linked open data) to open and interlink TV content in a Web fashion </li></ul></ul><ul><li>Putting the user back in the driving seat </li></ul><ul><ul><li>Using semantics to connect the multitude of distributed personal data </li></ul></ul><ul><li>TV is not bound to the device </li></ul><ul><ul><li>Computer as TV & vice versa </li></ul></ul><ul><ul><li>Mobile device as remote control </li></ul></ul>
  4. 5. High-level architecture
  5. 6. Use of Linked Open Data (LOD) <ul><li>DBPedia, Freebase, WordNet(s), TV genre typologies, TV Anytime, BBC Programme ontology, (constantly growing list) </li></ul><ul><li>Expose TV metadata as Semantic Web data </li></ul><ul><li>Use LOD concepts for metadata enrichment </li></ul><ul><li>Publish NoTube additions as extension to LOD </li></ul><ul><li>Combine and align Web & TV standards (public broadcasters) </li></ul>
  6. 7.  BBC MMVIII
  7. 8. http://www.bbc.co.uk/programmes/b00c06n2.rdf
  8. 9. Examples: TV Metadata & Vocabularies <ul><li>(Live) data sources: </li></ul><ul><ul><li>Online TV guides, XMLTV </li></ul></ul><ul><ul><li>Online movie databases, IMDB </li></ul></ul><ul><ul><li>Trailers Videodetective.com </li></ul></ul><ul><ul><li>Broadcast, BBC-backstage, TV-Anytime </li></ul></ul><ul><li>W3C OWL Time Ontology </li></ul><ul><li>Genre vocabularies (SKOS) </li></ul><ul><ul><li>TV-Anytime, XMLTV and IMDB Genres </li></ul></ul><ul><li>W3C WordNet 2.0 </li></ul><ul><li>IMDB Locations </li></ul><ul><li>IMDB Movie Descriptions </li></ul>
  9. 11. Where is the User’s Perspective? Image credits: Dan Brickley
  10. 12. Image credits: Tim Berners-Lee, Ian Davis
  11. 13. … in Distributed Context(s) Image credits: Dan Brickley
  12. 14. Social Web as Data Silo(s) image from pidgintech.com
  13. 15. Isolated Communities of Users & Data image from pidgintech.com
  14. 16. Ways to Connect These Islands? image from pidgintech.com
  15. 18. Facebook Open Graph is an attempt to map all the complex interactions existing between you, your friends and the content you all like = mapping your interests and cross-interests.
  16. 19. User Activity Streams <ul><li>Standard representation </li></ul><ul><ul><li>based on OpenSocial </li></ul></ul><ul><li>Access services to </li></ul><ul><ul><li>YouTube, Twitter, …. </li></ul></ul><ul><li>Challenges </li></ul><ul><ul><li>trusted access to “friend” information </li></ul></ul><ul><ul><li>implementation of standard like O a uth 2.o? </li></ul></ul>
  17. 20. Activity Streams http://xmlns.notu.be/aair/
  18. 21. User Profiling <ul><li>Services for generating user preferences </li></ul><ul><ul><li>“ Beancounter” </li></ul></ul><ul><ul><li>abstractions from activity stream </li></ul></ul><ul><li>User-model representation based on FOAF </li></ul><ul><li>Aggregation of activities and context data </li></ul><ul><li>Derive interests from this data </li></ul><ul><li>Granular control for users </li></ul>
  19. 22. FOAF (Friend-of-a-Friend)
  20. 23. Weighted Interests http://xmlns.notu.be/wi
  21. 24. Weighted Interests
  22. 25. Personalization & Recommenders <ul><li>Collaborative recommenders, e.g. </li></ul><ul><ul><li>preferences of friends; group recommendations </li></ul></ul><ul><li>Content-based recommenders, e.g. </li></ul><ul><ul><li>program about Marylin Monroe  Arthur Miller </li></ul></ul><ul><ul><li>cross-domain recommendations </li></ul></ul><ul><li>Cold start, over-specialization </li></ul><ul><li>Surface programs of interest in the ‘long tail’ </li></ul>
  23. 26. Internet TV in Social Web © Libby Miller, BBC
  24. 32. “ We are building a web where the default is Social .” TV
  25. 33. Demonstrator: Personalized News
  26. 34. Demonstrator: Personalized TV guide
  27. 35. Demonstrator: TV & Social Web
  28. 36. Partners <ul><li>Research </li></ul><ul><li>Broadcast & Telecommunication </li></ul><ul><li>Industry </li></ul><ul><li>Dissemination & Training </li></ul>
  29. 37. Acknowledgements <ul><li>NoTube partner team, e.g. </li></ul><ul><ul><li>Libby Miller, Vicky Buser (BBC) </li></ul></ul><ul><ul><li>Dan Brickley, Balthasar Schopman, Chris van Aart, Ronald Siebes, Guus Schreiber (VU Amsterdam) </li></ul></ul><ul><ul><li>Davide Palmisano, Michele Minno (Pro-netics) </li></ul></ul><ul><ul><li>and many others </li></ul></ul><ul><li>Alexandre Passant & John Bresin for cool pictures from his tutorial on Social Web </li></ul>
  30. 38. http://notube.tv <ul><li>Watch videos to see how NoTube technologies work: </li></ul><ul><li> http://vimeo.com/10553773 </li></ul><ul><li> http://vimeo.com/11232681 </li></ul>

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