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Libraries and Linked open Data


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My Presentation at the National Library of China in September 2012

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Libraries and Linked open Data

  1. 1. Linked open data for science, culture andsocietyPresentation at the National Library of China, Beijing, 2012-09-16 Dr. Johannes Keizer Office of Knowledge Exchange, Research and Extension Food and Agriculture Organization of the UN Presentations by Johannes Keizer is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 3.0 Unported License.
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  3. 3. “... FAO’sprinciple task is to work to ensure that the world’s knowledge of food and agriculture is available to those who need it when they need it and in a form which they can access and use ...”
  4. 4. johannes keizer
  5. 5. http://agris.fao.orgAGRIS is a global publicdomain Databasewith 2870782 structuredbibliographical records onagricultural science andtechnology. 78.95% ofrecords are citations fromscientific journals. Thebibliographic referencescontain either links to thefull text of the publicationor additional informationretrieved from relatedInternet resources johannes keizer
  6. 6. Tim Berners Lee at TED 2009 on Linked Data  All kinds of conceptual things, they have names now that start with HTTP.  I get important information back. I will get back some data in a standard format which is kind of useful data that somebody might like to know about that thing, about that event.  I get back that information its not just got somebodys height and weight and when they were born, its got relationships. And when it has relationships, whenever it expresses a relationship then the other thing that its related to is given one of those names that starts with HTTP. johannes keizer
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  8. 8. A big cloud! But how much linked?“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch.” johannes keizer
  9. 9. Do librarieshave aspecific role?
  10. 10. ..yes, very much  We have tons of structured and semi - structured information in bibliographical databases  Many of these bibliographical records are using some standard vocabularies, i.e. • AGROVOC: 300 to 1000 data sets all over the world • CABI: at least 100? • NALT: some 100s in the USA • LCSH: enormous numbers of bib. Databases  One vocabulary catches multiple datasets johannes keizer
  11. 11. ……a bibliographical record original johannes keizer
  12. 12. …the same record transformed johannes keizer
  13. 13. ……using title and author johannes keizer
  14. 14. ……using the key words johannes keizer
  15. 15. ……using the key words johannes keizer
  16. 16. …using the journal name johannes keizer
  17. 17. johannes keizer
  18. 18. johannes keizer
  19. 19. Linking URIs johannes keizer
  20. 20. Linking vocabularies johannes keizer
  21. 21. RDF- the basis for linked data johannes keizer
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  23. 23. johannes keizer 23
  24. 24. The BBC Grasshopper page links to a news article… johannes keizer 24
  25. 25. johannes keizer 25
  26. 26. …and to a DBPedia category… johannes keizer 26
  27. 27. johannes keizer 27
  28. 28. …using information extracted from Wikipedia. johannes keizer 28
  29. 29. EUROPEANA:, The Hague johannes keizer
  30. 30. Linked Open Vocabularies johannes keizer
  31. 31. Creating Linked Applications johannes keizer
  32. 32. ..when you have time....      [rural population]  [cereal yield]  [Poverty]  [Fish WB + FAO fisheries]  [Fish WB + FAO fisheries]  [GBIF, Country Profiles, DBPedia]
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