welcome to consuming linked data tutorial

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Consuming Linked Data Tutorial World Wide Web Conference 2010 Olaf Har=g Juan F. Sequeda Patrick Sinclair Jamie Taylor

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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

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Page 1: Welcome to Consuming Linked Data tutorial

Consuming  Linked  Data  Tutorial  

World  Wide  Web  Conference  2010  Olaf  Har=g  

Juan  F.  Sequeda  Patrick  Sinclair  Jamie  Taylor  

Page 2: Welcome to Consuming Linked Data tutorial

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  

Page 3: Welcome to Consuming Linked Data tutorial

How  many  people  are  familiar  with  

•  Linked  Data  •  RDF  •  SPARQL  •  Web  Architecture  (HTTP,  etc)  

Page 4: Welcome to Consuming Linked Data tutorial

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  •  …  

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May  2007  

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Oct  2007  

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Nov  2007  (1)  

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Nov  2007  (2)  

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Feb  2008  

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Mar  2008  

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Sept  2008  

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Mar  2009  (1)  

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Mar  2009  (2)  

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July  2009  

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April  2010  

YOU  GET  THE  PICTURE  

ITS  BIG  and  ge4ng  

BIGGER  and  BIGGER  

Page 16: Welcome to Consuming Linked Data tutorial

Now  what  can  we  do  with  this  data?  

Page 17: Welcome to Consuming Linked Data tutorial

Welcome  to  the    2nd  Consuming  Linked  Data  Tutorial  

Page 18: Welcome to Consuming Linked Data tutorial

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  

Page 19: Welcome to Consuming Linked Data tutorial
Page 20: Welcome to Consuming Linked Data tutorial

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  

Page 21: Welcome to Consuming Linked Data tutorial

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 ] }}!

Page 22: Welcome to Consuming Linked Data tutorial
Page 23: Welcome to Consuming Linked Data tutorial

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  

Page 24: Welcome to Consuming Linked Data tutorial

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  

Page 25: Welcome to Consuming Linked Data tutorial

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