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Facsimiles of Text and Music
From Distributed Resources
                    Benjamin Albritton
                  blalbrit@stanford.edu


   Scholarly Editions and the Digital Age: Text and Music
             31 August 2012, Bloomington, IN
Overview
• Brief context of current medieval manuscript
  interoperability work
• Andrew W. Mellon Foundation
• Stanford and partners
• What do we mean by “interoperability”?
The Problem
• Medieval projects as “curated and
  comprehensive” efforts
• Technical and social silos
• Expensive to maintain
• Difficult to extend
The Goal
• Toward a “commons” of distributed resources
• Aggregating information and extensibility as
  an alternate to “curated and comprehensive”
• Allow people to do cool new stuff with our
  stuff (without losing our relevance)
Text Repositories

•   Long history
•   Deep inventory
•   Domain-specific (often)
•   Some images
•   Static Interface
•   …
Image Repositories
•   A “standard model”
•   Lots of images
•   Descriptive metadata
•   Silo interfaces
     • Built-in tools
     • No way to access
        outside “stuff” for
        comparison
     • Mediates use
     • Expensive to maintain
Repository to Repository
                              Parker: CCCC 410 – De speculatione musice
• One-off sharing
• Human-brokered
• But:
   • Expense
   • Not scalable
   • What if:
       • CHMTL wants
         images for all MSS
         of its texts?
       • Parker wants texts
         for all its music
         theory?
       • BNF wants… ?         CHMTL: 1970, Corpus scriptorum text
                              of De speculatione musice
But what about…
• Other resources
  “about” an object
  or text
• … stored and
  served in other
  places
• … that you might
  not know about
• How to build
  extensible
  facsimiles?
“Interoperability”
• Step 1: Expose resources to
  shared tools
• Step 2: Enhance resources
   • Match text to image
   • Match image to text

• Exposure is low cost
• Shared tools let other people
  make your stuff better
• Specialists build the domain-
  specific tools
Step 3: Enhance existing data
Step 4: CHMTL text + Parker image
Digital Facsimiles from
          Distributed Resources
• Parker image served from Stanford
• Text provided by CHMTL
• Linkage produced in T-PEN
• Data for text re-stored at Los Alamos National
  Lab
• Re-presented in a new environment that also
  allows presentation of even more annotations
  and links
Aggregating distributed resources
Transcribing from Digital Surrogates




                   La Terre de Secille
Naïve Approach: Attach Transcription to Image
     One problem example: Multiple Representations




CCC 26 f. iiiR
Naïve Approach: Attach Transcription to Image
      One problem example: Multiple Representations




CCC 26 f. iiiR   Fold A Open
Naïve Approach: Attach Transcription to Image
 One problem example: Multiple Representations




CCC 26 f. iiiR   Fold A Open   Fold A and B Open
Naïve Approach: Attach Transcription to Image
 One problem example: Multiple Representations




CCC 26 f. iiiR   Fold A Open   Fold A and B Open   f. iiiV
The Shared Canvas

     • Represents a real world thing we
       want to “talk” about
     • Has a unique name
        •   http://dms-data.stanford.edu/Parker/CCC026/canvas-12
Facsimiles are “about” a real thing
Parker Image re-served in
  SharedCanvas viewer
Re-presented with text in side-by-side
              view…
… or overlaid
The Distributed Facsimile
Examples of other resources attached
          to the facsimile:




                         • Detail images overlaid
Examples of other resources attached
          to the facsimile:
                           • User-generated
                             comments (public
                             and private)




                           • Audio
                             performances of
                             notated music
                           • Overlaid text
                             transcription

                           • Also:
                               • Data sets
                               • Mark-up
                               • Base image
                                   choices
Conclusion
• Distributed resources exist independently of the
  aggregation – could be re-presented in any UI
• In short:
  – Expose repository and project data via API and
    common data models
  – Leads to:
     •   Greater use of repository resources
     •   Sustainability
     •   Enhanced repository data
     •   Cool new uses of the data we’ve already produced
Thank You
• More Info:
   – Benjamin Albritton, Stanford University Libraries
       • blalbrit@stanford.edu
   – CHMTL & Dr. Giuliano Di Bacco, Indiana University
       • http://www.chmtl.indiana.edu/
   – SharedCanvas
       • Author and architect: Robert Sanderson, Los Alamos National Lab
             – azaroth42@gmail.com
       • Description and implementations:
             – www.shared-canvas.org
   – T-PEN
       • PI: James Ginther (coming up next), Saint Louis University
       • Try it!
             – http://t-pen.org/TPEN
   – Slides (within a week)
       • http://www.stanford.edu/group/dmstech/

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Facsimiles of Text and Music from Distributed Resources

  • 1. Facsimiles of Text and Music From Distributed Resources Benjamin Albritton blalbrit@stanford.edu Scholarly Editions and the Digital Age: Text and Music 31 August 2012, Bloomington, IN
  • 2. Overview • Brief context of current medieval manuscript interoperability work • Andrew W. Mellon Foundation • Stanford and partners • What do we mean by “interoperability”?
  • 3. The Problem • Medieval projects as “curated and comprehensive” efforts • Technical and social silos • Expensive to maintain • Difficult to extend
  • 4. The Goal • Toward a “commons” of distributed resources • Aggregating information and extensibility as an alternate to “curated and comprehensive” • Allow people to do cool new stuff with our stuff (without losing our relevance)
  • 5. Text Repositories • Long history • Deep inventory • Domain-specific (often) • Some images • Static Interface • …
  • 6. Image Repositories • A “standard model” • Lots of images • Descriptive metadata • Silo interfaces • Built-in tools • No way to access outside “stuff” for comparison • Mediates use • Expensive to maintain
  • 7. Repository to Repository Parker: CCCC 410 – De speculatione musice • One-off sharing • Human-brokered • But: • Expense • Not scalable • What if: • CHMTL wants images for all MSS of its texts? • Parker wants texts for all its music theory? • BNF wants… ? CHMTL: 1970, Corpus scriptorum text of De speculatione musice
  • 8. But what about… • Other resources “about” an object or text • … stored and served in other places • … that you might not know about • How to build extensible facsimiles?
  • 9. “Interoperability” • Step 1: Expose resources to shared tools • Step 2: Enhance resources • Match text to image • Match image to text • Exposure is low cost • Shared tools let other people make your stuff better • Specialists build the domain- specific tools
  • 10. Step 3: Enhance existing data
  • 11. Step 4: CHMTL text + Parker image
  • 12. Digital Facsimiles from Distributed Resources • Parker image served from Stanford • Text provided by CHMTL • Linkage produced in T-PEN • Data for text re-stored at Los Alamos National Lab • Re-presented in a new environment that also allows presentation of even more annotations and links
  • 14. Transcribing from Digital Surrogates La Terre de Secille
  • 15. Naïve Approach: Attach Transcription to Image One problem example: Multiple Representations CCC 26 f. iiiR
  • 16. Naïve Approach: Attach Transcription to Image One problem example: Multiple Representations CCC 26 f. iiiR Fold A Open
  • 17. Naïve Approach: Attach Transcription to Image One problem example: Multiple Representations CCC 26 f. iiiR Fold A Open Fold A and B Open
  • 18. Naïve Approach: Attach Transcription to Image One problem example: Multiple Representations CCC 26 f. iiiR Fold A Open Fold A and B Open f. iiiV
  • 19. The Shared Canvas • Represents a real world thing we want to “talk” about • Has a unique name • http://dms-data.stanford.edu/Parker/CCC026/canvas-12
  • 21. Parker Image re-served in SharedCanvas viewer
  • 22. Re-presented with text in side-by-side view…
  • 25. Examples of other resources attached to the facsimile: • Detail images overlaid
  • 26. Examples of other resources attached to the facsimile: • User-generated comments (public and private) • Audio performances of notated music • Overlaid text transcription • Also: • Data sets • Mark-up • Base image choices
  • 27. Conclusion • Distributed resources exist independently of the aggregation – could be re-presented in any UI • In short: – Expose repository and project data via API and common data models – Leads to: • Greater use of repository resources • Sustainability • Enhanced repository data • Cool new uses of the data we’ve already produced
  • 28. Thank You • More Info: – Benjamin Albritton, Stanford University Libraries • blalbrit@stanford.edu – CHMTL & Dr. Giuliano Di Bacco, Indiana University • http://www.chmtl.indiana.edu/ – SharedCanvas • Author and architect: Robert Sanderson, Los Alamos National Lab – azaroth42@gmail.com • Description and implementations: – www.shared-canvas.org – T-PEN • PI: James Ginther (coming up next), Saint Louis University • Try it! – http://t-pen.org/TPEN – Slides (within a week) • http://www.stanford.edu/group/dmstech/

Notes de l'éditeur

  1. Can’t acquire each new resource through human interactions
  2. , repositories provide the “killer carrot” not the “killer app”
  3. New information for existing resourcesLine locations on image, line breaks in text