From Enriched Museum Collections to Social Web and TV: Seminar at BBC
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From Enriched Museum Collections to Social Web and TV: Seminar at BBC

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Presentaiton by Lora Aroyo and Guus Schreiber

Presentaiton by Lora Aroyo and Guus Schreiber
July 7, 2010

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From Enriched Museum Collections to Social Web and TV: Seminar at BBC From Enriched Museum Collections to Social Web and TV: Seminar at BBC Presentation Transcript

  • Integra(ng  Social  Web  &  TV    with  help  of  seman(cs   Lora  Aroyo  &  Guus  Schreiber   Computer  Science   VU  University  Amsterdam  
  • Seman(c  Web  @  VU  Amsterdam   •  40  people,  two  groups:  Web  &  Media  (Schreiber),   Knowledge  Representa(on  &  Reasoning  (van   Harmelen)   •  A  few  ongoing  projects:   –  europeana.eu:  EU  culture  portal   –  NL  projects  on  access  to  cultural  heritage:  CHIP,  Agora   –  EU  NoTube:  Web  &  TV  seman(c  integra(on   –  PrestoPrime:  user-­‐generated  annota(ons  and  content  for   TV  archives   –  EU  LarKC:  plaRorm  for  massive  distributed  reasoning  
  • The  Linked  Data  Web:     typed  resources  and  links   Painting Dublin Core ULAN “Woman with hat SFMOMA creator Henri Matisse Web link URL URL
  • Demo  using  linked  data  (RPI,  Hendler)  
  • The  power  of  simple  alignments   “Tokugawa” AAT style/period SVCN Edo (Japanese period) period Tokugawa Edo AAT is Getty’s SVCN is local in-house Art & Architecture Thesaurus ethnology thesaurus
  • hVp://e-­‐culture.mul(median.nl/demo/search    
  • Europeana  Thought  Lab  cloud  
  • From  metadata  to     seman(c  metadata   SKOS EDM 1. Make vocabulary 2. Align metadata interoperable schema 4. Align vocabulary 3. Enrich metadata
  • Enriching  the  metadata  
  • Resul(ng  seman(c  annota(on    
  • Personalized  Rijksmuseum   http://chip-project.org NoTube 1st review
  • Personalized  Rijksmuseum   http://chip-project.org 05-06 May NoTube 1st review 15 2010
  • Mobile  Museum  Tour   http://www.chip-project.org/demo/mobileguide/index.jsp
  • Crowdsourcing:  Video  Tagging  Games   http://waisda.nl
  • NoTube:     Making  Television  More  Personal   hVp://www.notube.tv    
  • Acronym  and  consor(um  
  • NoTube  slogan:   Pu#ng  the  user  back  in  the  driving  seat   Observa(ons:     •  Personalized  services  are  now  common     •  But:  user  data  is  s(ll  under  control  of   separate  applica(ons   •  Result:  user  is  faced  with  mul(tude  of   distributed  personal  data,  hidden  in  tons   of  inaccessible  cookies  
  • NoTube  building  blocks  (1)   1.  TV  metadata  services   EPG  metadata  grabbers     –  from  170+  channels  (issue:  channel  URLs)   –  metadata  format:  TV  Any(me     –  real-­‐(me  service     2.  Metadata  enrichment     – Add  links  to  external  Web  vocabularies  and   repositories:  Lupedia  service  
  • NoTube  building  blocks  (2)   3.  Linked  Open  Data  for  TV   –  Access  services  to  major  vocabularies     –  Alignment  services  between  major  vocabularies,  where   needed  (e.g.  genre  typologies)   4.  User  acKvity  streams   –  Standard  for  ac(vity  stream  representa(on,  i.e.  Atom   Ac(vity  Stream   –  Access  services  to  ac(vity  streams,  e.g.  YouTube,  TwiVer,  ..   –  Trusted  access  to  “friend”  informa(on,  e.g.   implementa(on  of  standard  like  OAuth  2.0  
  • NoTube  building  blocks  (3)   5.  User  profiling   Services  for  genera(ng  user  preferences    –  “Beancounter”    –  abstrac(ons  from  ac(vity  stream     User-­‐model  representa(on  based  on  FOAF,  i.e.  weighted   interests  and  considering  context   6.  Recommender  services     Collabora(ve  recommenders,  e.g.  preferences  of  friends   Content-­‐based  recommenders,  e.g.  program  about  Alma  Mahler     program  about  Walter  Gropius     Experiment  with  mix  of  these  recommenders  for  single  users   and  small  groups  of  users,  e.g.  families,  friends  
  • Usage  scenario  &  demo  
  • http://notube.tv Thank  you   Ques(ons?   A world of opportunities is opening!