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CaVa: An Example of the Automatic Generation of Virtual Learning Spaces

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Abstract

In order to construct web Learning Spaces (LS), more than collect and digitalize information, a powerful data extraction and querying engine and a sophisticated web publishing mechanism are needed. In this paper, a system to automatically construct those learning spaces based on a digital repository is presented. The system takes XML files from repositories and populates an ontology (representing the knowledge base, the core of our system) to create the triples internal representation. A Domain Specific Language (CaVaDSL) will be used to specify the learning spaces based on that ontology. The formal description, written in that DSL, will be processed by Cavagen engine to generate the final LS.

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Notes

  1. 1.

    A triple is a structure that represents a link (a semantic connection) between two concepts through a relation in the form of subject-predicate-object interpretation (e.g. U2 is-a band, Mark is-brother-of John, etc.).

  2. 2.

    In: http://www.cidoc-crm.org/.

  3. 3.

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

  4. 4.

    In: http://wiki.dbpedia.org/.

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Acknowledgements

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. The work of Ricardo G. Martini is supported by CNPq, grant 201772/2014-0.

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Correspondence to Ricardo G. Martini .

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Martini, R.G., Araújo, C., Henriques, P.R., Pereira, M.J.V. (2018). CaVa: An Example of the Automatic Generation of Virtual Learning Spaces. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_63

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  • DOI: https://doi.org/10.1007/978-3-319-77703-0_63

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77702-3

  • Online ISBN: 978-3-319-77703-0

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