Agricultural Learning Repositories & Metadata Application Profiles
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Agricultural Learning Repositories & Metadata Application Profiles Presentation Transcript

  • 1. Agricultural Learning Repositories & Metadata Application Profiles Nikos Manouselis , Kostas Kastrantas Informatics Laboratory Div. of Informatics, Mathematics & Statistics Dept. of Science, Agricultural University of Athens GREECE
  • 2. Digital Learning Repositories
    • Digital Repository: system for the storage, location and retrieval of digital resources
    • Digital Learning Repository (DLR):
      • nature of resources or their description reflects an interest of use in an educational context
      • Holden C., “From Local Challenges to a Global Community: Learning Repositories Summit”, Academic ADL Co-Lab, 2003
  • 3. A set of questions
    • Are there DLRs with agricultural content?
    • Which metadata schemas do they use?
    • Are there agriculture-specific application profiles?
    • Relation to AOS?
  • 4. DLRs for agriculture
    • Those particularly focusing on agricultural content/stakeholders
  • 5. DLRs for agriculture
    • Those particularly focusing on agricultural content/stakeholders
    • Generic ones that also contain some agricultural content
  • 6. DLRs for agriculture
    • Generic ones that also contain some agricultural content
  • 7. DLRs for agriculture
    • Those particularly focusing on agricultural content/stakeholders
    • Generic ones that also contain some agricultural content
  • 8. Preliminary study
    • Took place during 2005
    • Examined 59 well-known generic DLRs
      • identified 27 DRLs with agricultural content
    • In a total of ~881,000 educational resources:
      • … only 3,201 resources (0.36%) related to agricultural topics
      • Tzikopoulos et al., "Investigating Digital Learning Repositories' Coverage of Agriculture-related Topics", ITAFE 2005.
  • 9. 34.5% of resources not classified (generally: agriculture)
  • 10. Majority uses a metadata standard (mainly IEEE LOM or LOM based , and Dublin Core )
  • 11. LR metadata
    • Learning Technology specifications & standards have been continuously developed since early 1990s
    • IEEE Learning Object Metadata (LOM) standard widely adopted & implemented
    • Competing schemas:
      • DC-ed (but, effort to come closer to LOM)
      • ISO/IEC JTC1 SC36 LRM (under development)
  • 12. About IEEE LOM
    • Nine categories of elements
      • 76 elements, all optional
    • Produced by IEEE Learning Technology Standards Committee
      • adopted as an IEEE standard on 2002
    • Past 3 years: studied in depth by ISO/IEC JTC1 SC36 WG4
      • Interesting critique: Friesen N. (2004) “International Survey of Learning Object Metadata Implementation” (for ISO/IEC)
  • 13. LR metadata in agriculture
    • IEEE LOM application profiles
      • CG LOM Core (CGIAR)
      • BEN: Biosci Education Network (AAAS)
      • BioTune (Netherlands)
      • … and some of our work:
        • BIO@GRO LOM AP (organic agriculture)
        • Organic.Edunet LOM AP (agroecology)
        • ReGov LOM AP (rural SMEs’ development)
    • Other approaches
      • FAO’s Agricultural Learning Resource AP (Ag-LR AP)
      • ICRICAT, IIT Kanpur, IIT Bombay et al.?
  • 14. Synergies with AOS
    • Use AGROVOC for classification purposes inside LRM schemas
      • Use AGROVOC as a web service
        • … CGIAR’s DLR already does this
      • Use an AGROVOC subset/specialization
        • E.g. AGROVOC-based Agroecology ontology
        • Implement separately? Include into AGROVOC?
        • Do special domains require other terms and/or relations?
    • Sanchez-Alonso S. & Sicilia M.-A., “Using an AGROVOC-based ontology for the description of learning resources on organic agriculture”, MTSR 2007.
  • 15. Potentially interesting…
    • Harmonization of agricultural LRM
      • Towards a commonly accepted schema?
      • Commonly accepted mappings between widely used implementations? (FAO’s Ag-LR AP, CG LOM Core, …)
    • Connection of agricultural DLRs with federations of generic DLRs
    • Organic.Edunet federation:
      • Link to ARIADNE Foundation & GLOBE Consortium
      • Query propagation using the Simple Query Interface (SQI)
    • IMS Global Learning Consortium specification ( http://www.imsglobal.org/lode.html )
  • 16. For more information:
    • Nikos Manouselis
    • Informatics Laboratory Agricultural University of Athens [email_address]
    • http://infolab-dev.aua.gr