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GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics

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Metadata and Semantic Research (MTSR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1789))

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Abstract

Data catalogs automatically collect metadata from distributed data sources and provide a unified and easily accessible view on the data. Many existing data catalog tools focus on the automatic collection of technical metadata (e.g., from a data dictionary) into a central repository. The functionality of annotating data with semantics (i.e., its meaning) in these tools is often not expressive enough to model complex real-world scenarios. In this paper, we propose a generic ontology layer (GOLDCASE), which maps the semantics of data in form of a high-expressive data model to the technical metadata provided by a data catalog. Hence, we achieve the following advantages: 1) users have access to an understandable description of the data objects, their relationships, and their semantics in the domain-specific data model. 2) GOLDCASE maps this knowledge directly to the metadata provided by data catalog tools and thus enables their reuse. 3) The ontology layer is machine-readable, which greatly improves automatic evaluation and data exchange. This is accompanied by improved FAIRness of the overall system. We implemented the approach at PIERER Innovation GmbH on top of an Informatica Enterprise Data Catalog to show and evaluate its applicability.

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Notes

  1. 1.

    https://www.go-fair.org/fair-principles (Oct. 2022).

  2. 2.

    https://www.poolparty.biz (Oct. 2022).

  3. 3.

    https://www.collibra.com/us/en/platform/data-catalog (Oct. 2022).

  4. 4.

    https://cambridgesemantics.com/anzo-platform (Oct. 2022).

  5. 5.

    https://data.world (Oct. 2022).

  6. 6.

    https://www.dataspot.at (Oct. 2022).

  7. 7.

    https://www.w3.org/TR/vocab-dcat-2 (Oct. 2022).

  8. 8.

    http://dqm.faw.jku.at/ontologies/dsd (Oct. 2022).

  9. 9.

    http://dqm.faw.jku.at/ontologies/GOLDCASE (Oct. 2022).

  10. 10.

    https://www.informatica.com/products/data-catalog/enterprise-data-catalog.html (Oct. 2022).

  11. 11.

    https://www.informatica.com/products/data-quality/axon-data-governance.html (Oct. 2022).

  12. 12.

    Ontology excerpt published on our website: http://dqm.faw.jku.at/ontologies/goldcase-application-example-1/goldcase-application-example.ttl.

  13. 13.

    https://www.w3.org/TR/2012/REC-r2rml-20120927/#dfn-iri-safe (Oct. 2022).

  14. 14.

    Parts of the example have been redacted due to confidentiality.

  15. 15.

    https://jupyter.org (Oct. 2022).

  16. 16.

    https://w3c.github.io/rdf-star/cg-spec/editors_draft.html (Oct. 2022).

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Acknowledgements

The research reported in this paper has been funded by BMK, BMDW, and the State of Upper Austria in the frame of the COMET Programme managed by FFG.

Author information

Authors and Affiliations

  1. Software Competence Center Hagenberg GmbH, Hagenberg, Austria

    Sabine Weidinger, Christian Lettner & Lisa Ehrlinger

  2. Johannes Kepler University Linz, Linz, Austria

    Johannes Schrott, Wolfram Wöß & Lisa Ehrlinger

  3. PIERER Innovation GmbH, Wels, Austria

    Martin Tiefengrabner

Authors
  1. Johannes Schrott
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  2. Sabine Weidinger
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  3. Martin Tiefengrabner
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  4. Christian Lettner
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  5. Wolfram Wöß
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  6. Lisa Ehrlinger
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Corresponding authors

Correspondence to Johannes Schrott or Lisa Ehrlinger .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. University College London, London, UK

    Andreas Vlachidis

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Schrott, J., Weidinger, S., Tiefengrabner, M., Lettner, C., Wöß, W., Ehrlinger, L. (2023). GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics. In: Garoufallou, E., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, vol 1789. Springer, Cham. https://doi.org/10.1007/978-3-031-39141-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-39141-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39140-8

  • Online ISBN: 978-3-031-39141-5

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