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ECOLE: An Ontology-Based Open Online Course Platform

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Open Data for Education

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9500))

Abstract

The chapter presents use cases and architecture of an educational platform built upon educational Linked Open Data. We review ontologies designed for educational data representation and discuss in detail the Enhanced Course Ontology for Linked Education (ECOLE) as an example. Its semantic core opens up a variety of new possibilities for interaction between an e-learning system and related Web-services and applications. The other feature of the ontology-based platform is a flexible structuring and linking of open educational resources. The last part of the chapter discusses these new possibilities and analyzes trends in linked learning.

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Notes

  1. 1.

    http://www.bbc.co.uk/education.

  2. 2.

    http://linkeduniversities.org/.

  3. 3.

    http://vivoweb.org/.

  4. 4.

    http://www.open.ac.uk/.

  5. 5.

    http://purl.org/vocab/aiiso/schema.

  6. 6.

    http://purl.org/ontology/bibo/.

  7. 7.

    http://www.w3.org/ns/ma-ont.

  8. 8.

    http://linkedscience.org/teach/ns/.

  9. 9.

    http://purl.org/ailab/education.

  10. 10.

    http://purl.org/ailab/testontology.

  11. 11.

    http://purl.org/ailab/learningresults.

  12. 12.

    http://www.foaf-project.org.

  13. 13.

    http://bnb.bl.uk/.

  14. 14.

    http://www.fluidops.com/information-workbench/.

  15. 15.

    https://www.python.org/.

  16. 16.

    https://www.djangoproject.com/.

  17. 17.

    http://rdflib.github.io/sparqlwrapper/.

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Acknowledgements

This work was partially financially supported by the Government of Russian Federation, Grant 074-U01.

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Correspondence to Fedor Kozlov .

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Vasiliev, V., Kozlov, F., Mouromtsev, D., Stafeev, S., Parkhimovich, O. (2016). ECOLE: An Ontology-Based Open Online Course Platform. In: Mouromtsev, D., d’Aquin, M. (eds) Open Data for Education. Lecture Notes in Computer Science(), vol 9500. Springer, Cham. https://doi.org/10.1007/978-3-319-30493-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-30493-9_3

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