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Juma: An Editor that Uses a Block Metaphor to Facilitate the Creation and Editing of R2RML Mappings

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The Semantic Web: ESWC 2017 Satellite Events (ESWC 2017)

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Abstract

R2RML is the W3C standard mapping language used to define customized mappings from relational databases into RDF. One issue that hampers its adoption is the effort needed in the creation of such mappings, as they are stored as RDF documents. To address this problem, several tools that represent mappings as graphs have been proposed in the literature. In this paper, we describe a visual representation based on a block metaphor for creating and editing such mappings that is fully compliant with the R2RML specification. Preliminary findings from users using the tool indicate that the visual representation was helpful in the creation of R2RML mappings with good usability results. In future work, we intend to conduct more experiments focusing on different types of users and to abstract the visual representation from the R2RML mapping language so that it supports the serialization of other uplift mapping languages.

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Notes

  1. 1.

    https://www.w3.org/TR/r2rml/ .

  2. 2.

    https://scratch.mit.edu/, last accessed March 2017.

  3. 3.

    http://ontop.inf.unibz.it.

  4. 4.

    https://www.scss.tcd.ie/~crottija/juma/.

  5. 5.

    https://developers.google.com/blockly/ .

  6. 6.

    https://github.com/dalers/mywind .

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Acknowledgements

This paper was supported by CNPQ, National Counsel of Technological and Scientific Development – Brazil and by the Science Foundation Ireland (Grant 13/RC/2106) as part of the ADAPT Centre for Digital Content Technology (http://www.adaptcentre.ie/) at Trinity College Dublin.

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Correspondence to Ademar Crotti Junior .

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Crotti Junior, A., Debruyne, C., O’Sullivan, D. (2017). Juma: An Editor that Uses a Block Metaphor to Facilitate the Creation and Editing of R2RML Mappings. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-70407-4_17

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