SlideShare a Scribd company logo
1 of 25
Download to read offline
Consuming	
  Linked	
  Data	
  Tutorial	
  

     World	
  Wide	
  Web	
  Conference	
  2010	
  
                   Olaf	
  Har=g	
  
                Juan	
  F.	
  Sequeda	
  
                 Patrick	
  Sinclair	
  
                  Jamie	
  Taylor	
  
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	
  
How	
  many	
  people	
  are	
  familiar	
  with	
  
•    Linked	
  Data	
  
•    RDF	
  
•    SPARQL	
  
•    Web	
  Architecture	
  (HTTP,	
  etc)	
  
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	
  
•    …	
  
May	
  2007	
  
Oct	
  2007	
  
Nov	
  2007	
  (1)	
  
Nov	
  2007	
  (2)	
  
Feb	
  2008	
  
Mar	
  2008	
  
Sept	
  2008	
  
Mar	
  2009	
  (1)	
  
Mar	
  2009	
  (2)	
  
July	
  2009	
  
April	
  2010	
  

YOU	
  GET	
  THE	
  PICTURE	
  
 ITS	
  BIG	
  and	
  ge4ng	
  

 BIGGER	
  and	
  
  BIGGER	
  
Now	
  what	
  can	
  we	
  do	
  with	
  this	
  
                data?	
  
Welcome	
  to	
  the	
  	
  
2nd	
  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	
  
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	
  
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 ] }}!
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	
  
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	
  
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	
  

More Related Content

What's hot

ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
Jon Voss
 

What's hot (20)

EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
 
Wikipedia and Libraries: Island Hopping the Data Archipelago
Wikipedia and Libraries: Island Hopping the Data ArchipelagoWikipedia and Libraries: Island Hopping the Data Archipelago
Wikipedia and Libraries: Island Hopping the Data Archipelago
 
Slow-cooked data and APIs in the world of Big Data: the view from a city per...
Slow-cooked data and APIs in the world of Big Data: the view from a city per...Slow-cooked data and APIs in the world of Big Data: the view from a city per...
Slow-cooked data and APIs in the world of Big Data: the view from a city per...
 
Linked Open Data and American Art
Linked Open Data and American ArtLinked Open Data and American Art
Linked Open Data and American Art
 
IIIF as an Enabler to Interoperability within a Single Institution
IIIF as an Enabler to Interoperability within a Single InstitutionIIIF as an Enabler to Interoperability within a Single Institution
IIIF as an Enabler to Interoperability within a Single Institution
 
The Danish National Bibliography as LOD
The Danish National Bibliography as LODThe Danish National Bibliography as LOD
The Danish National Bibliography as LOD
 
To the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly CommunicationTo the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly Communication
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
Researcher Pod: Scholarly Communication Using the Decentralized Web
Researcher Pod: Scholarly Communication Using the Decentralized WebResearcher Pod: Scholarly Communication Using the Decentralized Web
Researcher Pod: Scholarly Communication Using the Decentralized Web
 
Visualizing linkeddata aall2012d-ss
Visualizing linkeddata aall2012d-ssVisualizing linkeddata aall2012d-ss
Visualizing linkeddata aall2012d-ss
 
Persistent Identification: Easier Said than Done
Persistent Identification: Easier Said than DonePersistent Identification: Easier Said than Done
Persistent Identification: Easier Said than Done
 
Edina cigs-21-september-2012
Edina cigs-21-september-2012Edina cigs-21-september-2012
Edina cigs-21-september-2012
 
The Web We Want
The Web We WantThe Web We Want
The Web We Want
 
The web is rotting and what to do about it
The web is rotting and what to do about itThe web is rotting and what to do about it
The web is rotting and what to do about it
 
Discovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCIDDiscovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCID
 
OpenGLAM: LOD and American Art
OpenGLAM: LOD and American ArtOpenGLAM: LOD and American Art
OpenGLAM: LOD and American Art
 
Iiif to go iiif vatican (7 minutes)
Iiif to go   iiif vatican (7 minutes)Iiif to go   iiif vatican (7 minutes)
Iiif to go iiif vatican (7 minutes)
 
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
 
Ruby on Rails and the Semantic Web
Ruby on Rails and the Semantic WebRuby on Rails and the Semantic Web
Ruby on Rails and the Semantic Web
 
PID Signposting Pattern
PID Signposting PatternPID Signposting Pattern
PID Signposting Pattern
 

Viewers also liked

WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
Juan Sequeda
 
Drupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on TutorialDrupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on Tutorial
Juan Sequeda
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
Juan Sequeda
 
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Introduction to Linked Data 1/5
Introduction to Linked Data 1/5
Juan Sequeda
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
Juan Sequeda
 

Viewers also liked (20)

Welcome to Linked Data 0/5 Semtech2011
Welcome to Linked Data 0/5 Semtech2011Welcome to Linked Data 0/5 Semtech2011
Welcome to Linked Data 0/5 Semtech2011
 
Linked Data Applications - WWW2010
Linked Data Applications - WWW2010Linked Data Applications - WWW2010
Linked Data Applications - WWW2010
 
WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
 
Introduccion a la Web Semantica
Introduccion a la Web SemanticaIntroduccion a la Web Semantica
Introduccion a la Web Semantica
 
Introduction to Linked Data - WWW2010
Introduction to Linked Data - WWW2010 Introduction to Linked Data - WWW2010
Introduction to Linked Data - WWW2010
 
Virtualizing Relational Databases as Graphs: a multi-model approach
Virtualizing Relational Databases as Graphs: a multi-model approachVirtualizing Relational Databases as Graphs: a multi-model approach
Virtualizing Relational Databases as Graphs: a multi-model approach
 
Free Money (a.k.a Fellowships)
Free Money (a.k.a Fellowships)Free Money (a.k.a Fellowships)
Free Money (a.k.a Fellowships)
 
What is the Semantic Web
What is the Semantic WebWhat is the Semantic Web
What is the Semantic Web
 
Consuming Linked Data by Machines - WWW2010
Consuming Linked Data by Machines - WWW2010Consuming Linked Data by Machines - WWW2010
Consuming Linked Data by Machines - WWW2010
 
Consuming Linked Data by Humans - WWW2010
Consuming Linked Data by Humans - WWW2010Consuming Linked Data by Humans - WWW2010
Consuming Linked Data by Humans - WWW2010
 
Conclusions - Linked Data
Conclusions - Linked DataConclusions - Linked Data
Conclusions - Linked Data
 
Drupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on TutorialDrupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on Tutorial
 
Graph Query Languages: update from LDBC
Graph Query Languages: update from LDBCGraph Query Languages: update from LDBC
Graph Query Languages: update from LDBC
 
Do I need a Graph Database?
Do I need a Graph Database?Do I need a Graph Database?
Do I need a Graph Database?
 
Open Research Problems in Linked Data - WWW2010
Open Research Problems in Linked Data - WWW2010Open Research Problems in Linked Data - WWW2010
Open Research Problems in Linked Data - WWW2010
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
 
WTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked DataWTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked Data
 
Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012
 
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Introduction to Linked Data 1/5
Introduction to Linked Data 1/5
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
 

Similar to Welcome to Consuming Linked Data tutorial WWW2010

Global lodlam_communities and open cultural data
Global lodlam_communities and open cultural dataGlobal lodlam_communities and open cultural data
Global lodlam_communities and open cultural data
Minerva Lin
 
Intro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-AthensIntro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-Athens
Stoitsis Giannis
 

Similar to Welcome to Consuming Linked Data tutorial WWW2010 (20)

Semantic Web Technologies: Principles and Practices
Semantic Web Technologies: Principles and PracticesSemantic Web Technologies: Principles and Practices
Semantic Web Technologies: Principles and Practices
 
Methodological Guidelines for Publishing Linked Data
Methodological Guidelines for Publishing Linked DataMethodological Guidelines for Publishing Linked Data
Methodological Guidelines for Publishing Linked Data
 
Linked Data at the OU - the story so far
Linked Data at the OU - the story so farLinked Data at the OU - the story so far
Linked Data at the OU - the story so far
 
Exploring the Semantic Web
Exploring the Semantic WebExploring the Semantic Web
Exploring the Semantic Web
 
Contextual Computing - Knowledge Graphs & Web of Entities
Contextual Computing - Knowledge Graphs & Web of EntitiesContextual Computing - Knowledge Graphs & Web of Entities
Contextual Computing - Knowledge Graphs & Web of Entities
 
The Web of data and web data commons
The Web of data and web data commonsThe Web of data and web data commons
The Web of data and web data commons
 
Contextual Computing: Laying a Global Data Foundation
Contextual Computing: Laying a Global Data FoundationContextual Computing: Laying a Global Data Foundation
Contextual Computing: Laying a Global Data Foundation
 
Semantic Web For Energy [Malcolm Murray]
Semantic Web For Energy [Malcolm Murray]Semantic Web For Energy [Malcolm Murray]
Semantic Web For Energy [Malcolm Murray]
 
ISWC GoodRelations Tutorial Part 2
ISWC GoodRelations Tutorial Part 2ISWC GoodRelations Tutorial Part 2
ISWC GoodRelations Tutorial Part 2
 
GoodRelations Tutorial Part 2
GoodRelations Tutorial Part 2GoodRelations Tutorial Part 2
GoodRelations Tutorial Part 2
 
Global lodlam_communities and open cultural data
Global lodlam_communities and open cultural dataGlobal lodlam_communities and open cultural data
Global lodlam_communities and open cultural data
 
GLAMorous LOD and ResearchSpace introduction
GLAMorous LOD and ResearchSpace introductionGLAMorous LOD and ResearchSpace introduction
GLAMorous LOD and ResearchSpace introduction
 
GLAMorous LOD
GLAMorous LODGLAMorous LOD
GLAMorous LOD
 
What is New in W3C land?
What is New in W3C land?What is New in W3C land?
What is New in W3C land?
 
Intro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-AthensIntro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-Athens
 
The CSO Open Data Experience
The CSO Open Data ExperienceThe CSO Open Data Experience
The CSO Open Data Experience
 
Linked open data, its realization
Linked open data, its realizationLinked open data, its realization
Linked open data, its realization
 
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
 
Very Gentle Linked Data Workshop
Very Gentle Linked Data WorkshopVery Gentle Linked Data Workshop
Very Gentle Linked Data Workshop
 
Answers to usual issues in getting started with consuming Linked Data
Answers to usual issues in getting started with consuming Linked DataAnswers to usual issues in getting started with consuming Linked Data
Answers to usual issues in getting started with consuming Linked Data
 

More from Juan Sequeda

Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011
Juan Sequeda
 

More from Juan Sequeda (8)

Integrating Semantic Web with the Real World - A Journey between Two Cities ...
Integrating Semantic Web with the Real World  - A Journey between Two Cities ...Integrating Semantic Web with the Real World  - A Journey between Two Cities ...
Integrating Semantic Web with the Real World - A Journey between Two Cities ...
 
Integrating Semantic Web in the Real World: A Journey between Two Cities
Integrating Semantic Web in the Real World: A Journey between Two Cities Integrating Semantic Web in the Real World: A Journey between Two Cities
Integrating Semantic Web in the Real World: A Journey between Two Cities
 
Integrating Relational Databases with the Semantic Web: A Reflection
Integrating Relational Databases with the Semantic Web: A ReflectionIntegrating Relational Databases with the Semantic Web: A Reflection
Integrating Relational Databases with the Semantic Web: A Reflection
 
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
 
Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011
 
Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010
 
Consuming Linked Data by Humans
Consuming Linked Data by HumansConsuming Linked Data by Humans
Consuming Linked Data by Humans
 
Introduction to Linked Data
Introduction to Linked DataIntroduction to Linked Data
Introduction to Linked Data
 

Welcome to Consuming Linked Data tutorial WWW2010

  • 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   •  …  
  • 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.
  • 20. 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  
  • 21. 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 ] }}!
  • 22.
  • 23. 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  
  • 24. 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  
  • 25. 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