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web based METS creation
 Ralf Stockmann (stockmann@sub.uni-goettingen.de)
Why METS?
The new paradigm: connecting content

        Past               Present




   Project Websites     Portal Websites
     Repositories      Federated Search
Future
• Decentralized Web services
   – Relying on
      •   Personalization
      •   Social / Scientific Communities
      •   Semantic Relations
      •   Grid Computing
   – Offering:
      •   Dynamic Services (private bookshelf, …)
      •   Tools for Analysis, Annotation, Linking, Rating, Tagging
      •   Collaborative Workspaces
      •   Referencing single digital objects, or even parts of them

• “Scientific Mashups”
   – Online / Offline
   – Interfaces and Protocols
Consequences
• Shift of Relevance
   – Less:
      • Originator / host of content
      • Low quality images
      • “Black Box” software architecture with “vanilla” features
   – More:
      •   Metadata
      •   Fulltext
      •   Addressable sub-parts of an object
      •   High resolution images
      •   Interfaces
      •   Specialized, encapsulated, connectable tools

• METS
   – “Self-Awareness” of every document/file
Web bases METS creation for high quality
               mass digitisation
•   Easy to use, collaborative web based METS metadata editor
•   Flexible metadata sets
•   Workflow orchestration
•   Access roles and permissions
•   Presentation and usage
•   Long term preservation
•   “Scan to EDL / WDL / …”
•   Open Source / Collaborative Development
Create volume metadata based on catalog data
Document model with two
          structures

Logical structure   Phys. structure   Content files

  Monograph         Bound Book          00000001.tif
                        Page            00000002.tif
   Chapter
                        Page            00000003.tif
   Chapter              Page            00000004.tif
                        Page            00000005.tif
    Chapter
                       page area        00000006.tif
    Chapter
                        Page            00000007.tif
   Chapter              Page            00000008.tif
                        Page             HiRes01.jpg
                        Page            Thumb01.jpg
                                         Fulltext.xml
Building logical and physical structures
Exporting METS
Controlling
Workflow Orchestration
Visualisation
Full Text Search
Image Highlighting
Table of Content
Metadata
PDF Download
Presenting (TEI) Full Text
Handling Metadata and METS
• Fulltext is referenced, not embedded in METS
  file due to file sizes.
  – METS file is about 2 – 3 MB
  – Fulltext is about 20 MB
• Use MODS for descriptive metadata for logical
  structure entities
• PREMIS preservation metadata
• Own descriptive metadata schema for physical
  structure entities – storing page numbers
Availability
• Offering a full-flavored framework for digital libraries
• Open Source
• Components
   –   LINUX / UNIX Filesystem
   –   JAVA (min 1.5)
   –   Tomcat & Apache
   –   MYSQL
   –   TYPO3 (PHP)
   –   WebDAV
   –   LDAP
• Subversion Server
• Work in progress: support model
Join us!

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Mets opening day - web based mets creation (2007)

  • 1. case study web based METS creation Ralf Stockmann (stockmann@sub.uni-goettingen.de)
  • 2. Why METS? The new paradigm: connecting content Past Present Project Websites Portal Websites Repositories Federated Search
  • 3. Future • Decentralized Web services – Relying on • Personalization • Social / Scientific Communities • Semantic Relations • Grid Computing – Offering: • Dynamic Services (private bookshelf, …) • Tools for Analysis, Annotation, Linking, Rating, Tagging • Collaborative Workspaces • Referencing single digital objects, or even parts of them • “Scientific Mashups” – Online / Offline – Interfaces and Protocols
  • 4. Consequences • Shift of Relevance – Less: • Originator / host of content • Low quality images • “Black Box” software architecture with “vanilla” features – More: • Metadata • Fulltext • Addressable sub-parts of an object • High resolution images • Interfaces • Specialized, encapsulated, connectable tools • METS – “Self-Awareness” of every document/file
  • 5. Web bases METS creation for high quality mass digitisation • Easy to use, collaborative web based METS metadata editor • Flexible metadata sets • Workflow orchestration • Access roles and permissions • Presentation and usage • Long term preservation • “Scan to EDL / WDL / …” • Open Source / Collaborative Development
  • 6.
  • 7. Create volume metadata based on catalog data
  • 8.
  • 9. Document model with two structures Logical structure Phys. structure Content files Monograph Bound Book 00000001.tif Page 00000002.tif Chapter Page 00000003.tif Chapter Page 00000004.tif Page 00000005.tif Chapter page area 00000006.tif Chapter Page 00000007.tif Chapter Page 00000008.tif Page HiRes01.jpg Page Thumb01.jpg Fulltext.xml
  • 10. Building logical and physical structures
  • 21. Handling Metadata and METS • Fulltext is referenced, not embedded in METS file due to file sizes. – METS file is about 2 – 3 MB – Fulltext is about 20 MB • Use MODS for descriptive metadata for logical structure entities • PREMIS preservation metadata • Own descriptive metadata schema for physical structure entities – storing page numbers
  • 22. Availability • Offering a full-flavored framework for digital libraries • Open Source • Components – LINUX / UNIX Filesystem – JAVA (min 1.5) – Tomcat & Apache – MYSQL – TYPO3 (PHP) – WebDAV – LDAP • Subversion Server • Work in progress: support model