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Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
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Learning Resource Exchange Infrastructure

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  • 1. David Massart European Schoolnet (EUN) The EUN Learning Resource Exchange Infrastructure
  • 2. Outline
    • Glossary
    • An infrastructure for exchanging learning resources
      • A Brief History
      • Finding repositories
      • Collecting metadata
      • Exposing learning resources
    • Inside the dark cloud
      • Metadata management
      • Indexation
    • Conclusion: Getting Connected
  • 3. Glossary
    • Learning Resource:
    • Anything digital used for learning and/or teaching
    • Learning Resource Metadata:
    • Machine-readable description of learning resources
    • Learning Resource Repository:
    • Software system for managing learning resources and their metadata
  • 4. Learning Resource Exchange
    • An infrastructure for
    • Federating applications that provide learning resources (e.g.,  learning resource repositories, authoring tools)
    • Offering a seamless access to these resources to educational applications that consume them (e.g., educational portals, VLEs)
  • 5.  
  • 6. A Brief History of the LRE
    • ETB: Dublin Core, NNTP => LRE Thesaurus
    • CELEBRATE: LOM, Brokerage System (JMS + WS) => Simple Query Interface (SQI) + LRE Application Profile (LRE AP)
    • FIRE: LOM, SQI Brokerage System => S 2 QL
    • CALIBRATE: LRE AP, SQI + OAI-PMH Brokerage System, S 2 QL => PLQL
    • MELT: Service-Oriented Architecture => >150,000 open resources + Metadata
    • ASPECT:  Much more to come 
  • 7. Finding Repositories
  • 8. Collecting Metadata
    • (Federated) search: SQI, SRU
    • Harvesting: OAI-PMH
    • Publishing: SWORD, SPI
    • Mass upload: Excel sheets
  • 9. Exposing Learning Resources
    • Search: SQI, SRU
    • Harvesting: OAI-PMH
    • Index pushing
    • Syndication: Atom/RSS
  • 10.  
  • 11. Inside the Dark Cloud
    • Once collected (or generated), metadata is
    • Controlled
    • Corrected / Completed
    • Identified
    • Transformed into an LRE format (CMR)
    • Enriched
    • Translated
    • Indexed
  • 12. Metadata Control (Negotiation)
  • 13. Metadata Control (Negotiation)
  • 14. Metadata Control (Negotiation)
  • 15. Metadata Control (In Action)
  • 16. Metadata Correction / Completion
  • 17. LRE Metadata Format (CMR)
  • 18. Metadata Lifecycle & Identity
  • 19. Metadata Enrichment
  • 20. User-Generated Information
  • 21. Metadata Enrichment
    • User-Generated Information
    • Bookmarks
    • Tags (folksonomies)
    • Rating ( )
    • “ Travel well” potential
    • Professional Indexers
    • LRE thesaurus
    • Curriculum mapping
    • Human translation
    • Copyright clearance
  • 22. Automatic Translation of Metadata
    • Identifiers do not need to be translated
    • Controlled vocabularies are easy to translate
    • Automatic translations of free texts
      • Can be indexed as such
      • Need to be revised for end-users
  • 23. Metadata Indexation
  • 24. Conclusion: Getting Connected
    • Today, connecting a repository to the LRE
      • A matter of days
      • Large choice of connection type (search, harvesting, push, etc.)
    • Today, searching the LRE
      • Fast and reliable
      • Large choice of access method (search, etc.)
    • Today, the LRE keeps on advancing the state of the art in infrastructure for learning resource discovery and exchange
  • 25. For More Information
    • LRE: http://lre.eun.org
    • FIRE page: http://fire.eun.org
    • ASPECT project: http://aspect-project.org
  • 26.  
  • 27. Searching the LRE with SQI
    • Query Language: LRE-QL
    • Result Format:
      • LOM (LRE AP)
      • CMR
    • http://wiki.eun.org/lre-dev-guide/
    • Simple Query Interface (SQI) SOAP Web Service

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