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Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
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Welcome to Consuming Linked Data tutorial WWW2010

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These are the welcome slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010

These are the welcome slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010

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  • 1. Consuming  Linked  Data  Tutorial   World  Wide  Web  Conference  2010   Olaf  Har=g   Juan  F.  Sequeda   Patrick  Sinclair   Jamie  Taylor  
  • 2. Why?   •  2010  is  the  year  of  Consuming  Linked  Data   –  Linked  Data  has  been  published  since  2007   •  1st  Publishing  Linked  Data  Tutorial  at  ISWC08   •  1st  Consuming  Linked  Data  tutorial  at  ISWC09   •  A  lot  has  happened  in  the  last  6  months   •  And  we  want  much  more  to  con=nue   happening  
  • 3. How  many  people  are  familiar  with   •  Linked  Data   •  RDF   •  SPARQL   •  Web  Architecture  (HTTP,  etc)  
  • 4. History   •  Linked  Data  Design  Issues  by  TimBL  July  2006   •  Linked  Open  Data  Project  WWW2007   •  First  LOD  Cloud  May  2007   •  1st  Linked  Data  on  the  Web  Workshop  WWW2008   •  1st  Triplifica=on  Challenge  2008   •  How  to  Publish  Linked  Data  Tutorial  ISWC2008   •  BBC  publishes  Linked  Data  2008   •  2nd  Linked  Data  on  the  Web  Workshop  WWW2009   •  NY  Times  announcement  ISWC09   •  1st  Linked  Data-­‐a-­‐thon  ISWC2009   •  How  to  Consume  Linked  Data  Tutorial  ISWC2009   •  Data.gov.uk  publishes  Linked  Data  2010   •  …  
  • 5. May  2007  
  • 6. Oct  2007  
  • 7. Nov  2007  (1)  
  • 8. Nov  2007  (2)  
  • 9. Feb  2008  
  • 10. Mar  2008  
  • 11. Sept  2008  
  • 12. Mar  2009  (1)  
  • 13. Mar  2009  (2)  
  • 14. July  2009  
  • 15. April  2010   YOU  GET  THE  PICTURE   ITS  BIG  and  ge4ng   BIGGER  and   BIGGER  
  • 16. Now  what  can  we  do  with  this   data?  
  • 17. Welcome  to  the     2nd  Consuming  Linked  Data  Tutorial  
  • 18. The  Modigliani  Test   •  Tell  me  all  the  loca=ons  of  all  the  original   pain=ngs  of  Modigliani   •  Daniel  Koller  (@dakoller)  showed  that  you  can   find  this  with  a  SPARQL  query  on  DBpedia   Thanks  Richard  MacManus  -­‐  ReadWriteWeb  
  • 19. Results  of  the  Modigliani  Test   •  Atanas  Kiryakov  from  Ontotext   •  Used  LDSR  –  Linked  Data  Seman=c  Repository   –  Dbpedia   –  Freebase   –  Geonames   –  UMBEL   –  Wordnet   Published  April  26,  2010:    hep://www.readwriteweb.com/archives/the_modigliani_test_for_linked_data.php  
  • 20. SPARQL  Query   PREFIX fb: http://rdf.freebase.com/ns/! PREFIX dbpedia: http://dbpedia.org/resource/! PREFIX dbp-prop: http://dbpedia.org/property/! PREFIX dbp-ont: http://dbpedia.org/ontology/! PREFIX umbel-sc: http://umbel.org/umbel/sc/! PREFIX rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns#! PREFIX ot: http://www.ontotext.com/! SELECT DISTINCT ?painting_l ?owner_l ?city_fb_con ?city_db_loc ? city_db_cit! WHERE ! { ?p fb:visual_art.artwork.artist dbpedia:Amedeo_Modigliani ; fb:visual_art.artwork.owners [ fb:visual_art.artwork_owner_relationship.owner ?ow ] ; ot:preferredLabel ?painting_l. ?ow ot:preferredLabel ?owner_l . OPTIONAL { ?ow fb:location.location.containedby [ ot:preferredLabel ?city_fb_con ] } . ! OPTIONAL { ?ow dbp-prop:location ?loc. ?loc rdf:type umbel-sc:City ; ot:preferredLabel ?city_db_loc } ! OPTIONAL { ?ow dbp-ont:city [ ot:preferredLabel ?city_db_cit ] }}!
  • 21. Who  Are  We?   •  Olaf  Har=g  –  Humboldt-­‐Universitaet  zu  Berlin   •  Juan  Sequeda  –  University  of  Texas  at  Aus=n   •  Patrick  Sinclair  –  BBC   •  Jamie  Taylor  –  Metaweb  Technologies  
  • 22. By  lunch  =me  you  will   •  Learn  what  Linked  Data  is   •  Realize  that  there  is  a  lot  of  data  out  on  the   web   •  Get  excited  about  Linked  Data   •  Wonder  how  you  can  access  Linked  Data   •  Learn  about  the  different  ways  of  consuming   linked  data   •  Realize  that  there  is  s=ll  work  to  be  done   •  Want  to  create  a  Linked  Data  applica=on  
  • 23. Outline   •  9:00  –  9:05  Welcome  (5  min)   •  9:05  –  9:25  Introduc=on  to  Linked  Data  (25  min)   •  9:25  –  9:40  Consuming  Linked  Data  by  Humans  (15  min)   •  9:40  –  10:00  Consuming  Linked  Data  by  Machines  (20  min)   •  10:00  –  10:30  Consuming  Linked  Data  with  SPARQL  (30  min)   •  10:30  –  11:00  Coffee  Break   •  11:00  –  11:30  Gemng  Started  to  Consume  Linked  Data  (30  min)   •  11:30  –  11:50  Linked  Data  Applica=ons  (20  min)   •  11:50  –  12:10  Open  Research  Problems  (20  min)   •  12:10  –  12:30  Ques=ons  and  Discussion  

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