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ITS-08 2008- Ontology-based Learning Resources Repositories Montreal, June 23 rd, 2008 From a Conceptual Ontology to the TELOS Operational System Gilbert.

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Presentation on theme: "ITS-08 2008- Ontology-based Learning Resources Repositories Montreal, June 23 rd, 2008 From a Conceptual Ontology to the TELOS Operational System Gilbert."— Presentation transcript:

1 ITS 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

2 Our Bookmarks First HyperGuide MISA IE method MOT graphic modeling editor HyperGuide-Recto (FAI) and TL-NCE projects - 1 LCMS Deployment; MOT+ extension eduSource: LOM and DRI Modularization and open software: PALOMA, MOT+LD, MOT+OWL TELUQ virtual campus LORNET Network, TELOS

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

4 TELOS Initial Vision A Learning and KM operating system A Learning and KM operating system –Aggregating software components –Aggregating VC and design platforms –Aggregating learning environments –Aggregating ePortfolios A service-oriented architecture A service-oriented architecture A model-driven, ontology-driven system A model-driven, ontology-driven system A multi-actor workflows/learning resource assembly system. A multi-actor workflows/learning resource assembly system.

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6 TELOS Cascade of Use Cases

7 Conceptual Architecture in Ontology Format

8 TELOS Technical Ontology

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

10 TELOS Actual Interface

11 Resource Manager

12 Scenario Editor

13 Task Manager

14 Designers Building IMS-LD Scenarios

15 IMS-LD Level B Execution

16 IMS-LD Services U U U U U U U U

17 Engineer Constructing an Aggregated Search Operation

18 Technologist Upgrading a Platform for Distance Education

19 Two-Way Semantic Referencing Any kind of resource can be an instance in more than one ontology Any kind of resource can be an instance in more than one ontology –The technical ontology tells TELOS how to execute the resource –A domain ontology tells a search engine what knowledge and competency is owned by the ressource

20 Domain Ontology Referencing

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

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

23 ITS Ontology-based Learning Resources Repositories Montreal, June 23 rd, 2008 Merci! Gilbert Paquette François Magnan CICE Research Chair LICEF Research Center, Télé-université ITS Ontology-based Learning Resources Repositories Montreal, June 23 rd, 2008 Merci! Gilbert Paquette François Magnan CICE Research Chair LICEF Research Center, Télé-université


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