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The Provenance of Madame Bonnier: Museum Linked Data

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Presentation by Robert Sanderson to the October 3-5, 2016 partners meeting of the American Art Collaborative, at ISI in Marina Del Rey, CA.

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The Provenance of Madame Bonnier: Museum Linked Data

  1. 1. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Robert Sanderson rsanderson @getty.edu The Provenance of Madame Bonnier: Museum Linked Data With Thanks To: Ruth Cuadra Brenda Podemski David Newbury Kelly Davis Joan Cobb Vladimir Alexiev …
  2. 2. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance • Case Study: Madame Bonnier • Data Models: Integration of Object and Provenance • Lessons Learnt • Data Ownership vs Stewardship • Data Quality • Model Alignment • Structure or Interaction? Overview
  3. 3. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Portrait of Madame Bonnier de la Mosson as Diana Painting Jean-Marc Nattier (1685 – 1766) France, 1742 Oil on Canvas 129.5 x 96.8 cm 77.PA.87 Getty Museum On View: South Pavilion, S202 Madame Bonnier
  4. 4. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Madame Bonnier: Provenance
  5. 5. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Madame Bonnier: Provenance Museum Provenance Index
  6. 6. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Madame Bonnier: Provenance? Provenance Index Provenance Index
  7. 7. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Madame Bonnier: Provenance?!
  8. 8. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance I’m Thinking …
  9. 9. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance But Actually …
  10. 10. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Error in the Data :(
  11. 11. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Everyone As Diana At Some Point
  12. 12. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Everyone As Diana At Some Point
  13. 13. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Everyone As Diana At Some Point Ran out of red paint?
  14. 14. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Portrait of Madame Bonnier de la Mosson as Diana Painting Jean-Marc Nattier (1685 – 1766) France, 1742 Oil on Canvas 129.5 x 96.8 cm 77.PA.87 Getty Museum On View: South Pavilion, S202 Madame Bonnier
  15. 15. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Museum Data Model: Description
  16. 16. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Museum Data Model: Provenance
  17. 17. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Museum Data Model: Complete
  18. 18. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Object Data Model: Complete Start of Provenance Current Provenance
  19. 19. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance General Provenance Model
  20. 20. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Auctions Model
  21. 21. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Lessons Learnt
  22. 22. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Ownership vs Stewardship Provenance Index makes assertions about others’ objects (including Museum)
  23. 23. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Ownership vs Stewardship Provenance Index makes assertions about others’ objects (including Museum) Authoritative about the documents … … but not about the objects’ provenance
  24. 24. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Ownership vs Stewardship Provenance Index makes assertions about others’ objects (including Museum) Authoritative about the documents … … but not about the objects’ provenance => Acting as a steward for the provenance, not the owner of it
  25. 25. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Quality Linked Data makes errors easier to find … … but doesn’t correct them for you
  26. 26. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Quality Linked Data makes errors easier to find … … but doesn’t correct them for you Quality of LOD is limited by quality of non LOD input, for purpose of linking
  27. 27. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Data Quality Linked Data makes errors easier to find … … but doesn’t correct them for you Quality of LOD is limited by quality of non LOD input, for purpose of linking Beware false precision => Automatic inferencing is risky
  28. 28. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Model Alignment Aligning models is hard, while avoiding false precision!
  29. 29. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Model Alignment Aligning models is hard, while avoiding false precision! Need to get over “need” for 100% precision, 100% coverage, 100% completeness
  30. 30. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Model Alignment Aligning models is hard, while avoiding false precision! Need to get over “need” for 100% precision, 100% coverage, 100% completeness => Start somewhere, then implement, learn, correct, and iterate
  31. 31. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Structure or Interaction Linked Data as a Data Model … provides single structure to implement, query … acceptable if complete and accurate Linked Data as an API … provides data to integrate, use … acceptable if understandable and usable
  32. 32. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Structure or Interaction Linked Data as a Data Model … provides single structure to implement, query … acceptable if complete and accurate Linked Data as an API … provides data to integrate, use … acceptable if understandable and usable => As completeness increases, usability decreases
  33. 33. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance If it’s not usable, why are we doing it?
  34. 34. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Final Thoughts Need to focus on our goals … not on religious wars around ontologies Need to find the balance between accuracy and usability Need to recognize this is HARD and we’re not going to get it right the first time. Or the second. Need to keep on keeping on :)
  35. 35. @azaroth42 rsanderson @getty.edu LODLessonsLearnt: Provenance Rob Sanderson / rsanderson@getty.edu Thank You!

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