Soylent SemanticWeb Is People!

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Presented at the Semantic Web In Libraries 2013 conference. This version is slides + builds only, no speaker notes.

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Soylent SemanticWeb Is People!

  1. 1. DOROTHEA SALO UNIVERSITY OF WISCONSIN SOYLENT SEM-WEB PLE! EO P IS
  2. 2. Soylent Green DVD cover, c. 2007. Fair use asserted.
  3. 3. DOROTHEA SALO UNIVERSITY OF WISCONSIN SOYLENT SEM-WEB It’s the year 2013... Data are still the same. We’ll do anything to make sense of them. And for that we need PEOPLE.
  4. 4. DOROTHEA SALO UNIVERSITY OF WISCONSIN SOYLENT SEM-WEB PLE! EO P IS It’s the year 2013... Data are still the same. We’ll do anything to make sense of them. And for that we need PEOPLE.
  5. 5. SOYLENT SEM-WEB It’s the year 2013... Data are still the same. We’ll do anything to make sense of them. And for that we need LIBRARIANS.
  6. 6. SOYLENT SEM-WEBIANS! AR IBR L IS It’s the year 2013... Data are still the same. We’ll do anything to make sense of them. And for that we need LIBRARIANS.
  7. 7. Image credits • Server room: Alex, “servers” • http://www.flickr.com/photos/40987321@N02/5580348753/ • Bulldozer: GlacierNPS, “The rotary plow” • (snow-thrower, not bulldozer, but who’s counting?) • http://www.flickr.com/photos/glaciernps/7256028570/ • Graph: Jörg Kanngießer, “Graph of klick.JÖrg - Die Homepage” • http://www.flickr.com/photos/derletzteschrei/193506552/ • Librarians: Charles Greenberg, “IMGP0420” • http://www.flickr.com/photos/openknowledge/7610237288/ • All these images licensed CC-BY. Thank you, creators!
  8. 8. Librarians linked data
  9. 9. Librarians MODEL linked data
  10. 10. Librarians CROSSWALK TO linked data
  11. 11. Librarians MAKE linked data
  12. 12. Librarians HOST linked data
  13. 13. Librarians ARCHIVE linked data
  14. 14. Librarians BUILD SYSTEMS FOR linked data
  15. 15. Librarians linked data
  16. 16. Librarians INVESTIGATE linked data
  17. 17. Librarians DISCUSS linked data
  18. 18. Librarians LEARN ABOUT linked data
  19. 19. Librarians TEACH ABOUT linked data
  20. 20. Librarians ADVOCATE FOR linked data
  21. 21. Librarians ADOPT linked data
  22. 22. Librarians linked data
  23. 23. Librarians MOSTLY DON’T ADOPT linked data
  24. 24. Anfuehrer, “Der Fleischwolf bei der Arbeit” CC-BY-SA http://www.flickr.com/photos/planetbene/4978709667/
  25. 25. THIS HAS HAPPENED BEFORE
  26. 26. XML IN PUBLISHING
  27. 27. INSTITUTIONAL REPOSITORIES IN ACADEME
  28. 28. TH I S WILL HAPPE N AGAIN
  29. 29. 3: 01 T2 SIS t Auced) e areprod lid not a sl slide on (actua en Se
  30. 30. 3: 01 T2 SIS t Auced) e areprod lid not a sl slide on (actua en Se “RDF is built from XML.”
  31. 31. 3: 01 T2 SIS t Auced) e areprod lid not a sl slide on (actua en Se “RDF is built from XML.” It’s the year 2013... RDF is still the same. Why do people who should know better still believe RDF is based on XML?
  32. 32. Rex Pe, “student teacher” CC-BY http://www.flickr.com/photos/goldendragon613/250121512/
  33. 33. 1000 1000 (essentially infinite) 750 500 250 150 90 0 45 HTML5 HTML5 / CSS XML (MODS) RDF Teaching time for minimal competence (in minutes)
  34. 34. 1000 1000 (essentially infinite) 750 500 250 150 90 0 45 HTML5 HTML5 / CSS XML (MODS) RDF Teaching time for minimal competence (in minutes)
  35. 35. Dave Hosford, “Diving Board Catch” CC-BY http://www.flickr.com/photos/baltimoredave/4813902094/
  36. 36. Davide Palmisano, “Introduction to Linked Data.” Fair use asserted. http://www.cambridgesemantics.com/semantic-university/introduction-to-linked-data
  37. 37. Davide Palmisano, “Introduction to Linked Data.” Fair use asserted. http://www.cambridgesemantics.com/semantic-university/introduction-to-linked-data
  38. 38. Davide Palmisano, “Introduction to Linked Data.” Fair use asserted. http://www.cambridgesemantics.com/semantic-university/introduction-to-linked-data
  39. 39. Sarah Deer, “duh” CC-BY http://www.flickr.com/photos/sarahdeer/3666261790/
  40. 40. B.S. Wise, “humanity. love. respect” CC-BY http://www.flickr.com/photos/bswise/4621075758/
  41. 41. I start with because they get it.
  42. 42. I start with MARC because they get it.
  43. 43. I start with METADATA because they get it.
  44. 44. I start with MARC because they get it.
  45. 45. xlibber, “Bad Parking” CC-BY http://www.flickr.com/photos/xlibber/3870106899/
  46. 46. XML IN PUBLISHING
  47. 47. INSTITUTIONAL REPOSITORIES IN ACADEME
  48. 48. Colby Stopa, “Path” CC-BY http://www.flickr.com/photos/photographybycolby/10169675563/
  49. 49. NEGATIVE PATH DEPENDENCE Colby Stopa, “Path” CC-BY http://www.flickr.com/photos/photographybycolby/10169675563/
  50. 50. FOUR CHALLENGES
  51. 51. FOUR HCHALLENGES-WEB T SEM OYLEN ES FOR T
  52. 52. Challenge #1: for linked data
  53. 53. Challenge #1: SYSTEMS, NOT ONTOLOGIES for linked data
  54. 54. Challenge #2: with linked data
  55. 55. Challenge #2: IT’S NOT ABOUT WHAT YOU CAN DO with linked data
  56. 56. Challenge #2: IT’S ABOUT WHAT I CAN DO with linked data
  57. 57. Challenge #3: with linked data
  58. 58. Challenge #3: WOW ME! with linked data
  59. 59. Challenge #3: WOW LIBRARIANSHIP with linked data
  60. 60. Challenge #4: with linked data
  61. 61. Challenge #4: DISRUPT MARC with linked data
  62. 62. w.marsh, “old shelby park library” CC-BY http://www.flickr.com/photos/40943981@N00/3185725324/
  63. 63. Library linked data
  64. 64. Library linked data FOR GREA JUS T TICE
  65. 65. Vielen dank! Dorothea Salo salo@wisc.edu This presentation is available under a Creative Commons 3.0 Attribution United States license. Please respect CC licenses on photos if you reuse.

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