Learning Object Annotation in Agricultural Learning Repositories

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

This presentation provides an overview over the content repository architecture of the Organic.Edunet eContentplus project.

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Learning Object Annotation in Agricultural Learning Repositories

  1. 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. 2. Overview • Organic.Edunet – Project Overview • Content Repository – Conceptual Overview • Metadata Annotation • Interoperability • Interfaces • Current Status • Conclusions   2
  3. 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
  4. 4. The Big Picture   4
  5. 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. 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. 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. 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.   9
  10. 10.   10
  11. 11. Metadata Annotation 3/3   11
  12. 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
  13. 13. Ontology Term Annotation   13
  14. 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. 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. 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. 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. 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

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