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Visual Analysis of Ontology Matching Results with the MELT Dashboard

  • Conference paper
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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Abstract

In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT). Compared to existing, static evaluation interfaces in the ontology matching domain, our dashboard allows for interactive self-service analyses such as a drill down into the matcher performance for data type properties or into the performance of matchers within a certain confidence threshold. In addition, the dashboard offers detailed group evaluation capabilities that allow for the application in broad evaluation campaigns such as the Ontology Alignment Evaluation Initiative (OAEI).

J. Portisch and S. Hertling—Equal contribution.

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Notes

  1. 1.

    https://github.com/dwslab/melt.

  2. 2.

    http://www.seals-project.eu.

  3. 3.

    http://project-hobbit.eu.

  4. 4.

    https://mvnrepository.com/artifact/de.uni-mannheim.informatik.dws.melt.

  5. 5.

    https://dc-js.github.io/dc.js/.

  6. 6.

    http://crossfilter.github.io/crossfilter/.

  7. 7.

    For an example, see the Anatomy Track results page 2019: http://oaei.ontologymatching.org/2019/results/anatomy/index.html.

  8. 8.

    Demo link: https://dwslab.github.io/melt/anatomy_conference_dashboard.html.

  9. 9.

    Demo link: http://oaei.ontologymatching.org/2019/results/knowledgegraph/knowledge_graph_dashboard.html.

  10. 10.

    https://github.com/dwslab/melt/tree/master/examples/meltDashboard.

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Correspondence to Jan Portisch .

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Portisch, J., Hertling, S., Paulheim, H. (2020). Visual Analysis of Ontology Matching Results with the MELT Dashboard. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_32

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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