1. Dmitry Mouromtsev, Aleksei Romanov, Dmitry Volchek and Fedor Kozlov Laboratory ISST @ ITMO University, St. Petersburg, Russia “Metadata Extraction from Open edX Online Courses Using Dynamic Mapping of NoSQL Queries”

2. The evolution of education technologies

3. MOOC statistics

4. Course distribution

5. Students enrollment in edx.org

6. The Open edX platform

7. Use semantics to make education materials reusable and flexible Interlink different types of data All advantages of Linked Data for education Stay Linked

8. Just Imagine

9. Enhanced Course Ontology for Open edX Platform Triple store and SPARQL endpoint as a backend Data providers for automatic data extraction Basics

10. Course structure hierarchy

14. Ontology development tools Protégé - open source ontology editor ontology http://protege.stanford.edu Ontodia - free online OWL and RDF diagramming tool http://ontodia.org

15. 18 Classes 14 Object Properties 23 Data Properties based on Top-level ontologies: AIISO, BIBO, TEACH Ontology model (course and users)

16. Ontology model (course structure)

17. The Course Structure API not provides the information about content Data about courses and their content is stored in MongoDB database SQL database rewriters as are no use Method

19. Implementation

20. Outcomes select ?s ?p ?o where {?s ?p } SPARQL queries to extracted metadata

21. Download course data via SPARQL endpoint Develop new and update existing courses by refining and reusing already existing information. Interlink and relate distinct courses Conclusion

22. Documentation and implementation of the described method as a component of Open edX Full ontology mapping with course information on any language Recommendation service for course developers Native edX integration Future Work

23. Thanks! Dmitry Volchek - dvolchekspb@gmail.com Romanov Aleksei - gloomspb@gmail.com https://github.com/ailabitmo/edx-ontology Russia, Saint-Petersburg, 2016