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Linked	
  data	
  at	
  the	
  BBC	
  
Sofia	
  Angeletou	
  

	
  
Data	
  Architect	
  
Linked	
  Data	
  Pla3orm	
  
Core	
  Engineering	
  
overview	
  
•  what	
  is	
  the	
  BBC	
  doing	
  with	
  Linked	
  Data
•  what	
  have	
  we	
  learnt	
  
•  what	
  are	
  our	
  main	
  challenges	
  

	
  	
  
Linked	
  Data	
  Pla3orm	
  
•  “To	
  organise	
  the	
  BBC's	
  online	
  content	
  around	
  
the	
  things	
  that	
  ma5er	
  to	
  our	
  audience”	
  
•  Link,	
  reuse	
  content	
  and	
  expose	
  it	
  in	
  novel	
  and	
  	
  
interesAng	
  ways	
  
•  Available	
  to	
  many	
  online	
  products	
  
	
  
what	
  does	
  that	
  mean?	
  
•  A	
  lot	
  of	
  data	
  
•  Defining	
  the	
  scope	
  and	
  the	
  data	
  model	
  very	
  
well	
  and	
  clearly	
  
•  Enabling	
  tools	
  and	
  services,	
  self	
  provisioning	
  
TRIPLESTORE	
  

CLIENT	
  APIs	
  
CLIENT	
  APIs	
  
DOMAIN	
  APIs	
  

LDP	
  CORE	
  

LDP	
  WRITER	
  

key	
  components	
  

SHARED	
  LIBRARIES	
  
data	
  
•  creaAve	
  works	
  (content)	
  
•  things	
  (reference	
  data)	
  
•  ontologies	
  
–  content	
  
–  things	
  
–  management	
  and	
  ownership	
  
services	
  
•  live	
  sites	
  
–  /sport	
  
–  /educaAon	
  
–  	
  news	
  pilot	
  

•  coming	
  soon	
  
–  music	
  news	
  
–  radio	
  
	
  
lessons	
  learnt	
  
Adding	
  complexity	
  	
  while	
  not	
  directly	
  adding	
  
value	
  to	
  the	
  proposiAon	
  is	
  not	
  a	
  good	
  idea	
  
•  “Nice	
  to	
  have”,	
  “cool	
  thing	
  to	
  do”	
  are	
  not	
  
compelling	
  reasons	
  when	
  dealing	
  with	
  a	
  
producAon,	
  24/7	
  live	
  pla3orm	
  
lessons	
  learnt	
  
•  Trying	
  to	
  be	
  a	
  good	
  LOD	
  ciAzen	
  should	
  be	
  
done	
  carefully	
  
•  Examples	
  
–  more	
  than	
  1M	
  unused	
  FOAF	
  triples	
  
–  Geonames	
  ontology	
  very	
  large	
  and	
  difficult	
  to	
  
delete.	
  

•  Very	
  hard	
  to	
  manage	
  unused	
  models	
  when	
  
serving	
  many	
  clients.	
  
lessons	
  learnt	
  
•  CauAously	
  use	
  restricAons	
  
–  blank	
  nodes	
  
–  funcAonal	
  properAes	
  
–  disjointness	
  
–  domains	
  and	
  ranges	
  (cause	
  inference,	
  they	
  are	
  not	
  
for	
  type	
  checking)	
  
main	
  challenges	
  
	
  
•  decommissioning	
  legacy	
  
•  shared	
  ownership	
  of	
  common	
  topics	
  
•  culture	
  
–  tagging	
  with	
  a	
  purpose	
  
–  what	
  is	
  your	
  proposiAon	
  (why	
  you	
  want	
  to	
  do	
  it)	
  
main	
  principles	
  
•  what	
  is	
  the	
  audience	
  proposiAon?	
  
–  only	
  build	
  what	
  delivers	
  the	
  funcAonality	
  and	
  extend	
  
iteraAvely	
  
–  only	
  add	
  data	
  that	
  add	
  business	
  value	
  

•  clear	
  ownership	
  	
  
–  content,	
  concepts,	
  ontologies	
  
–  management	
  and	
  permissions	
  

•  bo^om	
  up	
  approach	
  
–  first	
  test,	
  then	
  generalise	
  
–  controlled	
  pilot	
  builds	
  
Thank	
  you	
  
sofia.angeletou@bbc.co.uk	
  

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Sofia Angeletou's Slides from the 'What Linked Data Does, What Linked Data Needs' discussion panel.

  • 1. Linked  data  at  the  BBC   Sofia  Angeletou     Data  Architect   Linked  Data  Pla3orm   Core  Engineering  
  • 2. overview   •  what  is  the  BBC  doing  with  Linked  Data •  what  have  we  learnt   •  what  are  our  main  challenges      
  • 3. Linked  Data  Pla3orm   •  “To  organise  the  BBC's  online  content  around   the  things  that  ma5er  to  our  audience”   •  Link,  reuse  content  and  expose  it  in  novel  and     interesAng  ways   •  Available  to  many  online  products    
  • 4. what  does  that  mean?   •  A  lot  of  data   •  Defining  the  scope  and  the  data  model  very   well  and  clearly   •  Enabling  tools  and  services,  self  provisioning  
  • 5. TRIPLESTORE   CLIENT  APIs   CLIENT  APIs   DOMAIN  APIs   LDP  CORE   LDP  WRITER   key  components   SHARED  LIBRARIES  
  • 6. data   •  creaAve  works  (content)   •  things  (reference  data)   •  ontologies   –  content   –  things   –  management  and  ownership  
  • 7. services   •  live  sites   –  /sport   –  /educaAon   –   news  pilot   •  coming  soon   –  music  news   –  radio    
  • 8. lessons  learnt   Adding  complexity    while  not  directly  adding   value  to  the  proposiAon  is  not  a  good  idea   •  “Nice  to  have”,  “cool  thing  to  do”  are  not   compelling  reasons  when  dealing  with  a   producAon,  24/7  live  pla3orm  
  • 9. lessons  learnt   •  Trying  to  be  a  good  LOD  ciAzen  should  be   done  carefully   •  Examples   –  more  than  1M  unused  FOAF  triples   –  Geonames  ontology  very  large  and  difficult  to   delete.   •  Very  hard  to  manage  unused  models  when   serving  many  clients.  
  • 10. lessons  learnt   •  CauAously  use  restricAons   –  blank  nodes   –  funcAonal  properAes   –  disjointness   –  domains  and  ranges  (cause  inference,  they  are  not   for  type  checking)  
  • 11. main  challenges     •  decommissioning  legacy   •  shared  ownership  of  common  topics   •  culture   –  tagging  with  a  purpose   –  what  is  your  proposiAon  (why  you  want  to  do  it)  
  • 12. main  principles   •  what  is  the  audience  proposiAon?   –  only  build  what  delivers  the  funcAonality  and  extend   iteraAvely   –  only  add  data  that  add  business  value   •  clear  ownership     –  content,  concepts,  ontologies   –  management  and  permissions   •  bo^om  up  approach   –  first  test,  then  generalise   –  controlled  pilot  builds