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SQuaRE: A Visual Approach for Ontology-Based Data Access

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Book cover Semantic Technology (JIST 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10055))

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Abstract

We present the SPARQL Query and R2RML mappings Environment (SQuaRE) which provides a visual interface for creating mappings expressed in R2RML. SQuaRE is a web-based tool with easy to use interface that can be applied in the ontology-based data access applications. We describe SQuaRE’s main features, its architecture as well as implementation details. We compare SQuaRE with other similar tools and describe our future development plans.

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Notes

  1. 1.

    https://www.w3.org/RDF/.

  2. 2.

    https://www.w3.org/TR/sparql11-overview/.

  3. 3.

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

  4. 4.

    https://github.com/ontop/npd-benchmark.

  5. 5.

    http://projects.spring.io/spring-framework/.

  6. 6.

    http://rdf4j.org/.

  7. 7.

    http://neon-toolkit.org/wiki/ODEMapster.

  8. 8.

    http://ontop.inf.unibz.it/components/sample-page/.

  9. 9.

    http://d2rq.org/.

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Acknowledgments

This research has been supported by Polish Ministry of Science and Higher Education under grant 04/45/DSPB/0149.

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Correspondence to Michał Blinkiewicz or Jarosław Bąk .

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Blinkiewicz, M., Bąk, J. (2016). SQuaRE: A Visual Approach for Ontology-Based Data Access. In: Li, YF., et al. Semantic Technology. JIST 2016. Lecture Notes in Computer Science(), vol 10055. Springer, Cham. https://doi.org/10.1007/978-3-319-50112-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-50112-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50111-6

  • Online ISBN: 978-3-319-50112-3

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