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The LORNET Research Network

ITS-08 2008- Ontology - based Learning Resources Repositories Montreal , June 23 rd, 2008 From a Conceptual Ontology to the TELOS Operational System Gilbert Paquette François Magnan CICE Research Chair LICEF Research Center, Télé-université www.licef.teluq.uquebec.ca/gp. 2.

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The LORNET Research Network

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  1. ITS-08 2008- Ontology-based Learning ResourcesRepositoriesMontreal, June 23 rd, 2008From a Conceptual Ontology to the TELOS Operational System Gilbert PaquetteFrançois MagnanCICE Research ChairLICEF Research Center, Télé-universitéwww.licef.teluq.uquebec.ca/gp

  2. 2. Multi-actor Design 1. Inter -operability 6. TELOS 3. Adaptive Resources 5. Advanced Multimedia 4. Knowledge Extraction The LORNET Research Network Pan-canadianResearch Network 6 Universities, 4 Research Chairs, 15 entreprises 5 years, 7.5 M $, 120 researchers and gradstudents • 1000 publications • 60 Innovative prototype tools • Design and Construction of TELOS Achievements

  3. TELOS Initial Vision • A Learning and KM operating system • Aggregating software components • Aggregating VC and design platforms • Aggregatinglearningenvironments • AggregatingePortfolios • A service-oriented architecture • A model-driven, ontology-driven system • A multi-actorworkflows/learningresourceassembly system.

  4. TELOS Cascade of Use Cases

  5. Conceptual Architecture in Ontology Format

  6. TELOS TechnicalOntology

  7. TELOS Service-Oriented Framework Task Manager Ontology Editor (OWL) Communication Kernel Semantic Referencer Ressource Manager (LOM/DRI) Scenario Editor (IMS-LD/BPMN)

  8. TELOS Actual Interface

  9. Resource Manager

  10. Scenario Editor

  11. Task Manager

  12. Designers Building IMS-LD Scenarios

  13. IMS-LD Level B Execution

  14. U U U U U U U U IMS-LD Services

  15. Engineer Constructing an Aggregated Search Operation

  16. Technologist Upgrading a Platform for Distance Education

  17. Two-Way Semantic Referencing • Anykind of resourcecanbe an instance in more than one ontology • The technicalontology tells TELOS how to execute the resource • A domainontology tells a searchenginewhatknowledge and competencyisowned by the ressource

  18. Domain Ontology Referencing

  19. Extending IMS-LD • Visual representation and execution at level B and C for personalization • Extension of the types of conditions and multiple activities from BPMN • Visual representation of services • More transparent visual representation of learning scenarios • Embedded Metadata referencing by ontologies (including the LOM) • Simple and Powerful Visual Language can make possible the dissemination of IMS-LD

  20. ExtendingLCMSs (Platforms) • Global Systemic View • Extended and flexible set of actors • Multi-actor process coordination • Visual scenarios and workflows • Flexible and adaptable environments (through ontology extension) • Multi-technology interoperability • IMS-LD and OWL modeling for all • Simple and Powerful Visual Language • Reduced Time an Effort • Focus on learning

  21. ITS-08 2008- Ontology-based Learning ResourcesRepositoriesMontreal, June 23 rd, 2008Merci!www.licef.teluq.uquebec.ca/gpGilbert PaquetteFrançois Magnan CICE Research ChairLICEF Research Center, Télé-université www.licef.teluq.uquebec.ca/gp

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