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Linked	
  Data	
  Applica/ons	
  

 Consuming	
  Linked	
  Data	
  Tutorial	
  
World	
  Wide	
  Web	
  Conference	
  2010	
  
What	
  is	
  a	
  Linked	
  Data	
  applica/on	
  
•  So@ware	
  system	
  that	
  makes	
  use	
  of	
  data	
  on	
  the	
  
   web	
  from	
  mul/ple	
  datasets	
  and	
  that	
  benefits	
  
   from	
  links	
  between	
  the	
  datasets	
  
Characteris/cs	
  of	
  Linked	
  Data	
  
                  Applica/ons	
  
•  Consume	
  data	
  that	
  is	
  published	
  on	
  the	
  web	
  following	
  the	
  
   Linked	
  Data	
  principles:	
  an	
  applica/on	
  should	
  be	
  able	
  to	
  
   request,	
  retrieve	
  and	
  process	
  the	
  accessed	
  data	
  
•  Discover	
  further	
  informa/on	
  by	
  following	
  the	
  links	
  
   between	
  different	
  data	
  sources:	
  the	
  fourth	
  principle	
  
   enables	
  this.	
  
•  Combine	
  the	
  consumed	
  linked	
  data	
  with	
  data	
  from	
  
   sources	
  (not	
  necessarily	
  Linked	
  Data)	
  	
  
•  Expose	
  the	
  combined	
  data	
  back	
  to	
  the	
  web	
  following	
  the	
  
   Linked	
  Data	
  principles	
  	
  
•  Offer	
  value	
  to	
  end-­‐users	
  	
  	
  
Researchers	
  Map	
  
Music	
  Bore	
  




 hSp://vimeo.com/5561292	
  	
  
Seman/c	
  Search	
  
Linked	
  Data	
  and	
  E-­‐Learning	
  
•  Netex	
  –	
  www.netex.es	
  
•  Enrich	
  their	
  e-­‐learning	
  content	
  with	
  Dbpedia	
  
   and	
  Flickrwrapper	
  
1st	
  Linked	
  Data-­‐a-­‐thon	
  


•  Co-­‐located	
  at	
  ISWC2009	
  
•  Spontaneous	
  and	
  organized	
  in	
  a	
  few	
  days	
  
•  Three	
  day	
  hacking	
  session	
  
•  Goal	
  was	
  to	
  develop	
  an	
  innova/ve	
  applica/on	
  
   that	
  showcase	
  the	
  virtues	
  of	
  Linked	
  Data.	
  
•  8	
  par/cipa/ng	
  groups	
  
Winners	
  
•  United	
  States	
  Linked	
  Data	
  Overlay	
  
    –  Use	
  Linked	
  Data	
  about	
  geographical	
  loca/ons	
  and	
  
       display	
  it	
  on	
  Google	
  Earth.	
  
•  www.diversity-­‐search.info	
  
    –  Web	
  and	
  Image	
  search	
  engine	
  augmented	
  with	
  Linked	
  
       Data	
  
    –  Pictures	
  of	
  David	
  Beckham	
  playing	
  football	
  in	
  the	
  
       different	
  clubs	
  he	
  has	
  played	
  for	
  
•  Find	
  tradi/onal	
  Chinese	
  medicine	
  as	
  an	
  
   alterna/ve	
  to	
  western	
  drugs	
  
•  iGoogr:	
  Imagine	
  Google	
  was	
  using	
  Good	
  Rela/ons	
  
   vocabulary	
  for	
  e-­‐commerce	
  
1st	
  Linked	
  Data-­‐a-­‐thon	
  was	
  a	
  huge	
  
    success	
  and	
  we	
  learned	
  a	
  lot	
  
We	
  asked	
  ourselves…	
  
•    What	
  tools	
  were	
  used?	
  
•    What	
  datasets	
  were	
  used?	
  
•    How	
  was	
  auto	
  discovery	
  achieved?	
  
•    How	
  were	
  the	
  queries	
  wriSen?	
  
•    Which	
  vocabularies/ontologies	
  were	
  used?	
  
•    How	
  was	
  the	
  performance	
  of	
  the	
  applica/on?	
  
•    How	
  trustworthy	
  was	
  the	
  data?	
  
Lessons	
  Learned	
  
•  Par/al	
  Unreliability	
  of	
  Infrastructure	
  
     –  Querying	
  on-­‐the-­‐fly	
  
     –  Overhead	
  of	
  transla/ng	
  HTTP	
  URIs	
  to	
  SPARQL,	
  
        then	
  to	
  SQL	
  and	
  then	
  back	
  
•    Lack	
  of	
  Interlinking	
  
•    Cross	
  dataset	
  querying	
  is	
  a	
  challenge	
  
•    Ignorance	
  to	
  licensing	
  and	
  informa/on	
  quality	
  
•    Discover	
  relevant	
  Linked	
  Data	
  is	
  an	
  open	
  
     problem	
  
Ques/ons?	
  

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Linked Data Applications - WWW2010

  • 1. Linked  Data  Applica/ons   Consuming  Linked  Data  Tutorial   World  Wide  Web  Conference  2010  
  • 2. What  is  a  Linked  Data  applica/on   •  So@ware  system  that  makes  use  of  data  on  the   web  from  mul/ple  datasets  and  that  benefits   from  links  between  the  datasets  
  • 3. Characteris/cs  of  Linked  Data   Applica/ons   •  Consume  data  that  is  published  on  the  web  following  the   Linked  Data  principles:  an  applica/on  should  be  able  to   request,  retrieve  and  process  the  accessed  data   •  Discover  further  informa/on  by  following  the  links   between  different  data  sources:  the  fourth  principle   enables  this.   •  Combine  the  consumed  linked  data  with  data  from   sources  (not  necessarily  Linked  Data)     •  Expose  the  combined  data  back  to  the  web  following  the   Linked  Data  principles     •  Offer  value  to  end-­‐users      
  • 5. Music  Bore   hSp://vimeo.com/5561292    
  • 7. Linked  Data  and  E-­‐Learning   •  Netex  –  www.netex.es   •  Enrich  their  e-­‐learning  content  with  Dbpedia   and  Flickrwrapper  
  • 8. 1st  Linked  Data-­‐a-­‐thon   •  Co-­‐located  at  ISWC2009   •  Spontaneous  and  organized  in  a  few  days   •  Three  day  hacking  session   •  Goal  was  to  develop  an  innova/ve  applica/on   that  showcase  the  virtues  of  Linked  Data.   •  8  par/cipa/ng  groups  
  • 9. Winners   •  United  States  Linked  Data  Overlay   –  Use  Linked  Data  about  geographical  loca/ons  and   display  it  on  Google  Earth.   •  www.diversity-­‐search.info   –  Web  and  Image  search  engine  augmented  with  Linked   Data   –  Pictures  of  David  Beckham  playing  football  in  the   different  clubs  he  has  played  for   •  Find  tradi/onal  Chinese  medicine  as  an   alterna/ve  to  western  drugs   •  iGoogr:  Imagine  Google  was  using  Good  Rela/ons   vocabulary  for  e-­‐commerce  
  • 10. 1st  Linked  Data-­‐a-­‐thon  was  a  huge   success  and  we  learned  a  lot  
  • 11. We  asked  ourselves…   •  What  tools  were  used?   •  What  datasets  were  used?   •  How  was  auto  discovery  achieved?   •  How  were  the  queries  wriSen?   •  Which  vocabularies/ontologies  were  used?   •  How  was  the  performance  of  the  applica/on?   •  How  trustworthy  was  the  data?  
  • 12. Lessons  Learned   •  Par/al  Unreliability  of  Infrastructure   –  Querying  on-­‐the-­‐fly   –  Overhead  of  transla/ng  HTTP  URIs  to  SPARQL,   then  to  SQL  and  then  back   •  Lack  of  Interlinking   •  Cross  dataset  querying  is  a  challenge   •  Ignorance  to  licensing  and  informa/on  quality   •  Discover  relevant  Linked  Data  is  an  open   problem