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Learning Object Annotation in
Agricultural Learning Repositories

Hannes Ebner1, Nikos Manouselis2, Matthias Palmér1,
Fredrik Enoksson1, Nikos Palavitsinis2, Kostas Kastrantas2,
Ambjörn Naeve1

1
    Royal Institute of Technology (KTH), Sweden
2
    Greek Research and Technology Network (GRNET), Greece



The 9th IEEE International Conference on Advanced
Learning Technologies (ICALT)
July 15-17, 2009. Latvia, Riga.



                                
                                                              1
Overview
•   Organic.Edunet – Project Overview
•   Content Repository – Conceptual Overview
•   Metadata Annotation
•   Interoperability
•   Interfaces
•   Current Status
•   Conclusions




                      
                                               2
Organic.Edunet
A Multilingual Federation of Learning Repositories with
Quality Content for the Awareness and Education of
European Youth about Organic Agriculture and Agroecology

•   Consortium with 16 project partners from 10 countries
•   Focus on:
      – Interoperability between digital collections of learning
            resources on organic agriculture and agroecology
      – Learning resources
      – Educational scenarios
      – Pilot trials




                              
                                                                   3
The Big Picture




              
                  4
Content Repository -
Conceptual Overview
        •   Abstraction of quad store and binary data
        •   Separation between:
              – Entry (Metametadata, ACL, ...)
              – Resource
              – Metadata (local, external, extracted)
        •   Named graphs




                 
                                                        5
Agricultural Metadata
•   Decision between approaches based on LOM and DC
      – CG LOM Core
      – FAO Ag-LR AP
      – LRE extension to LOM


•   Organic.Edunet Application Profile
      – Based on LOM and LRE
      – Individual modifications to reflect the needs of the project




                              
                                                                       6
Organic.Edunet Application Profile
•   Partially the vocabularies are used from LRE v3.0
      – General Coverage
      – Metametadata Contribution
      – Educational
         • Learning Resource Type
         • Intended End User Role
        • Context
      – Relation Kind
•   Creative Commons for Rights Description
•   Annotation Description holds the quality certification
•   Ontology terms in Classification Entry
      – Organic.Edunet Ontology
      – AGROVOC (FAO)
      – CABI (cabi.org)

                            
                                                             7
Metadata Annotation
•   Using “Annotation Tool” based on the SHAME code library
•   AJAX component, embeddable in web applications
•   Automatically generated user interface
•   Based on “Annotation Profiles”
•   Reusable graph patterns
      – Based on QEL
      – Editor for generating APs (e.g. “I need dcterms:title,
           dcterms:subject, foaf:Person, and lom:Contribution”
•   Metadata is edited directly in the graph
•   Leaves metadata outside the graph pattern untouched




                            
                                                                 8
 
    9
 
    10
Metadata Annotation 3/3




             
                          11
Ontology Terms
•   Organic.Edunet Ontology
      – Created by domain experts with the help of the technical
           partners
      – Used for the semantic search in the main portal
      – Assigned like tags
      – Includes predicates




                             
                                                                   12
Ontology Term Annotation




            
                           13
Interoperability
•   RESTful interface
      – {http­verb} {base­uri}/{context}/{kind}/{entry}
      – Context & Entry: Integer
      – Kind: entry|metadata|...
      – Example: GET http://oe.confolio.org/23/metadata/2


•   Support for multiple formats
      –   JSON/JDIL (targeted for web applications)
      –   LOM/XML
      –   RDF (based on the IEEE LTSC LOM/DCAM mapping)
      –   Easy to hook in additional converters


•   As much HTTP as possible, e.g. content negotiation


                            
                                                            14
Harvesting / Querying
•   OAI-PMH
      – Supported formats
          • LOM
        • Dublin Core
      – Both directions


•   SQI
      – Translated into SPARQL queries
      – Layer in between SQI and SPARQL to respect the ACL


•   Custom harvesters
      – FAO Capacity Building Portal




                             
                                                             15
Current Status
•   Intense content population phase during summer 2009
•   Number of resources
      –   Harvested: ~6.000
      –   Imported: ~1.000
      –   Manually uploaded/annotated: ~1.000
      –   Target: 10.000
•   Harvesting from
      – Intute (~5.000)
      – FAO Capacity Building Portal (~1.000)
      – FAO Corporate Document Repository (~250.000) (sic!)
           (planned; filtering for OA to be done)
•   Harvesting by
      – Organic.Edunet Main Portal
      – Ariadne (planned)
      – LRE (planned)
                            
                                                              16
Conclusions
•   Web-based tool for learning resource annotation
•   Transparent application of Semantic Web technologies
•   Interoperability
      – Open standards used wherever possible
      – LOM/XML <-> DCAM
      – Linked Data
•   Well prepared for federations
•   Generic applicability
      – Not restricted to Organic Agriculture
•   Seperate reusable components
      – Annotation Tool: flexible metadata editor
      – SCAM: resource and metadata management framework
      – Confolio: e-portfolio web application (in combination with
          SCAM)


                             
                                                                     17
http://www.organic­edunet.eu


Acknowledgement

The work presented in this paper was partially performed in
the Organic.Edunet project which is supported by the EC
under the eContentplus programme, Agreement No. ECP-
2006-EDU-410012.


Contact Authors

Hannes Ebner (hebner@kth.se)
Nikos Manouselis (nikosm@ieee.org)
                          
                                                              18

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Learning Object Annotation in Agricultural Learning Repositories

  • 1. Learning Object Annotation in Agricultural Learning Repositories Hannes Ebner1, Nikos Manouselis2, Matthias Palmér1, Fredrik Enoksson1, Nikos Palavitsinis2, Kostas Kastrantas2, Ambjörn Naeve1 1 Royal Institute of Technology (KTH), Sweden 2 Greek Research and Technology Network (GRNET), Greece The 9th IEEE International Conference on Advanced Learning Technologies (ICALT) July 15-17, 2009. Latvia, Riga.   1
  • 2. Overview • Organic.Edunet – Project Overview • Content Repository – Conceptual Overview • Metadata Annotation • Interoperability • Interfaces • Current Status • Conclusions   2
  • 3. Organic.Edunet A Multilingual Federation of Learning Repositories with Quality Content for the Awareness and Education of European Youth about Organic Agriculture and Agroecology • Consortium with 16 project partners from 10 countries • Focus on: – Interoperability between digital collections of learning resources on organic agriculture and agroecology – Learning resources – Educational scenarios – Pilot trials   3
  • 5. Content Repository - Conceptual Overview • Abstraction of quad store and binary data • Separation between: – Entry (Metametadata, ACL, ...) – Resource – Metadata (local, external, extracted) • Named graphs   5
  • 6. Agricultural Metadata • Decision between approaches based on LOM and DC – CG LOM Core – FAO Ag-LR AP – LRE extension to LOM • Organic.Edunet Application Profile – Based on LOM and LRE – Individual modifications to reflect the needs of the project   6
  • 7. Organic.Edunet Application Profile • Partially the vocabularies are used from LRE v3.0 – General Coverage – Metametadata Contribution – Educational • Learning Resource Type • Intended End User Role • Context – Relation Kind • Creative Commons for Rights Description • Annotation Description holds the quality certification • Ontology terms in Classification Entry – Organic.Edunet Ontology – AGROVOC (FAO) – CABI (cabi.org)   7
  • 8. Metadata Annotation • Using “Annotation Tool” based on the SHAME code library • AJAX component, embeddable in web applications • Automatically generated user interface • Based on “Annotation Profiles” • Reusable graph patterns – Based on QEL – Editor for generating APs (e.g. “I need dcterms:title, dcterms:subject, foaf:Person, and lom:Contribution” • Metadata is edited directly in the graph • Leaves metadata outside the graph pattern untouched   8
  • 9.   9
  • 10.   10
  • 12. Ontology Terms • Organic.Edunet Ontology – Created by domain experts with the help of the technical partners – Used for the semantic search in the main portal – Assigned like tags – Includes predicates   12
  • 14. Interoperability • RESTful interface – {http­verb} {base­uri}/{context}/{kind}/{entry} – Context & Entry: Integer – Kind: entry|metadata|... – Example: GET http://oe.confolio.org/23/metadata/2 • Support for multiple formats – JSON/JDIL (targeted for web applications) – LOM/XML – RDF (based on the IEEE LTSC LOM/DCAM mapping) – Easy to hook in additional converters • As much HTTP as possible, e.g. content negotiation   14
  • 15. Harvesting / Querying • OAI-PMH – Supported formats • LOM • Dublin Core – Both directions • SQI – Translated into SPARQL queries – Layer in between SQI and SPARQL to respect the ACL • Custom harvesters – FAO Capacity Building Portal   15
  • 16. Current Status • Intense content population phase during summer 2009 • Number of resources – Harvested: ~6.000 – Imported: ~1.000 – Manually uploaded/annotated: ~1.000 – Target: 10.000 • Harvesting from – Intute (~5.000) – FAO Capacity Building Portal (~1.000) – FAO Corporate Document Repository (~250.000) (sic!) (planned; filtering for OA to be done) • Harvesting by – Organic.Edunet Main Portal – Ariadne (planned) – LRE (planned)   16
  • 17. Conclusions • Web-based tool for learning resource annotation • Transparent application of Semantic Web technologies • Interoperability – Open standards used wherever possible – LOM/XML <-> DCAM – Linked Data • Well prepared for federations • Generic applicability – Not restricted to Organic Agriculture • Seperate reusable components – Annotation Tool: flexible metadata editor – SCAM: resource and metadata management framework – Confolio: e-portfolio web application (in combination with SCAM)   17
  • 18. http://www.organic­edunet.eu Acknowledgement The work presented in this paper was partially performed in the Organic.Edunet project which is supported by the EC under the eContentplus programme, Agreement No. ECP- 2006-EDU-410012. Contact Authors Hannes Ebner (hebner@kth.se) Nikos Manouselis (nikosm@ieee.org)   18