1. Organic.Edunet Repository Tools
Hannes Ebner
hebner@kth.se
Knowledge Management Research Group
Royal Institute of Technology (KTH), Sweden
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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
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3. The Big Picture
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4. Content Repository -
Conceptual Overview
• Abstraction of quad store and binary data
• Separation between:
– Entry (Metametadata, ACL, ...)
– Resource
– Metadata (local, external, extracted)
• Named graphs
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5. 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
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6. 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
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9. Metadata Annotation 3/3
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10. Validation – Resource Review
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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
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12. Ontology Term Annotation
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13. Interoperability
• RESTful interface
– {http­verb} {base­uri}/{context}/{kind}/{entry}
– Context & Entry: identifier
– Kind: entry|metadata|...
– Example: GET http://oe.confolio.org/23/metadata/2
• Support for multiple formats
– JSON/JDIL (targeted towards 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
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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
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15. Linked Data
• “... a recommended best practice for exposing, sharing,
and connecting pieces of data, information, and
knowledge ...” (Wikipedia)
• Uses the web to interconnect data which wasn't linked
previously
• Based on URIs and RDF
• Contextualized information
• Not necessary to change the backend
– “Triplification” can be done on demand
– Important to use URIs
• SCAM contributes to the Linked Data cloud
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17. Six months later...
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19. Current Status
• Intense content population phase
• Number of resources
– Harvested: ~6.000
– Imported: ~1.000
– Target: 10.000+ uploaded and enriched resources
• Harvesting from
– Intute (~5.500)
– FAO Capacity Building Portal (~500)
– FAO Corporate Document Repository
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20. Summary
• 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)
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21. http://www.organic­edunet.eu
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