learning object annotation in agricultural learning repositories

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 1 Learning Object Annotation in Agricultural Learning Repositories Hannes Ebner 1 , Nikos Manouselis 2 , Matthias Palmér 1 , Fredrik Enoksson 1 , Nikos Palavitsinis 2 , Kostas Kastrantas 2 , Ambjörn Naeve 1 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.

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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

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

1 Royal Institute of Technology (KTH), Sweden2 Greek Research and Technology Network (GRNET), Greece

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

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Overview

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

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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

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The Big Picture

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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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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

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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)

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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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Metadata Annotation 3/3

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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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Ontology Term Annotation

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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

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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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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)

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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)

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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 ([email protected])

Nikos Manouselis ([email protected])