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VENICE TIME MACHINE FREDERIC KAPLAN DIGITAL HUMANITIES LABORATORY

VENICE TIME MACHINE FREDERIC KAPLAN DIGITAL HUMANITIES LABORATORY. 1. Digital Humanities are inventing new tools to travel not only in space , but also through time. Can we build “ Google maps ” of the past ?. Can we build “ Facebooks ” of the past ?. Can we build time machines ?.

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VENICE TIME MACHINE FREDERIC KAPLAN DIGITAL HUMANITIES LABORATORY

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  1. VENICE TIME MACHINE FREDERIC KAPLAN DIGITAL HUMANITIES LABORATORY 1

  2. Digital Humanities are inventing new tools to travel not only in space, but also through time.

  3. Can we build “Google maps”of the past ?

  4. Can we build “Facebooks”of the past ?

  5. Can we build time machines ?

  6. The Venice Time Machineis a joint project between EPFL and University of Venice Ca’Foscari.

  7. Why Venice ? 13

  8. 80 km of archivesdocumenting every detail of Venetian history over a 1000 years.

  9. Who lived in this palazzo in 1323 ?How much cost a sea bream at the Rialto market in 1434 ?What was the salary of a Murano glass worker in 1544 ?

  10. 900

  11. 1000

  12. 1100

  13. 1200

  14. 1300

  15. 1400

  16. 1500

  17. 1600

  18. 1700

  19. When can I take a boat if I am in Corfu in June 1323 and what to go to Constantinopoli ?How much will it cost ?What are the risks of encountering pirates ?

  20. Scientific and technological challenges 37

  21. We can digitize this archive in 10 years with traditional scanning techniques(450 volumes / day)

  22. We are working on new scanning techniques to reach 2000 vol. / day.

  23. Traditional optical character recognition methods have only limited success in transcribing handwritten documents.

  24. The solution is to use precise computational linguistic models of medieval Latin and other ancient languages.

  25. The central scientific challenge of the project is qualifying, quantifying and representinguncertainty and inconsistancyat each step of this process.

  26. This implies not only to model historical information, but to model each step of the construction of historical knowledge.

  27. Our system is based on the notion of “fictional space”(e.g. coherent data coming from a given source, interpreted in a given way)

  28. The crucial moment is when you merge two “fictional spaces” to create a larger data-set.

  29. Our system does not guaranty that you do this fusion in the right manner but document precisely how you do it, enabling to undo the operation if needed.

  30. It also signals inconsistencies between two “fictional spaces” and permits to implement rules to solve them.

  31. Nevertheless, it does not guaranty the convergence towards a single model of the past.

  32. We will not reconstruct the Venice of the past but build a machine for reconstructing all the possibleVenicescorresponding to different sources and interpretations.

  33. We can

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