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Assessing Knowledge Graphs Accountability

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The Semantic Web: ESWC 2023 Satellite Events (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13998))

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Abstract

Demand for accountability is increasing, driven by the growth of open data and e-governments. Accountability requires specific and fairly accurate information about people’s responsibilities and actions. Studies on data quality or FAIRness do not have a specific focus on that aspect. Therefore, we describe our approach to evaluate the accountability of several knowledge graphs of the LOD cloud and the results obtained.

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Notes

  1. 1.

    https://github.com/Jendersen/KG_accountability.

  2. 2.

    https://github.com/Jendersen/KG_accountability/tree/main/results.

References

  1. Amdouni, E., Bouazzouni, S., Jonquet, C.: O’FAIRe: Ontology FAIRness evaluator in the agroportal semantic resource repository. In: Groth, P., et al. (eds.) ESWC 2022–19th Extended Semantic Web Conference, Poster and Demonstration. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-11609-4_17

  2. Färber, M., Bartscherer, F., Menne, C., Rettinger, A.: Linked data quality of DBpedia, Freebase, OpenCYC, Wikidata, and YAGO. Semant. Web 9(1), 77–129 (2018)

    Article  Google Scholar 

  3. Maillot, P., Corby, O., Faron, C., Gandon, F., Michel, F.: IndeGx: a model and a framework for indexing RDF knowledge graphs with SPARQL-based test suits. J. Web Semant. 76, 100775 (2023)

    Article  Google Scholar 

  4. Oppold, S., Herschel, M.: Accountable data analytics start with accountable data: the liquid metadata model. In: ER Forum/Posters/Demos, pp. 59–72 (2020)

    Google Scholar 

  5. Rosnet, T., de Lamotte, F., Devignes, M.D., Lefort, V., Gaignard, A.: FAIR-checker - supporting the findability and reusability of digital life science resources (2021)

    Google Scholar 

  6. Weitzner, D.J., Abelson, H., Berners-Lee, T., Feigenbaum, J., Hendler, J., Sussman, G.J.: Information accountability. Commun. ACM 51(6), 82–87 (2008)

    Article  Google Scholar 

  7. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for linked data: a survey. Semant. Web 7(1), 63–93 (2016)

    Article  Google Scholar 

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Acknowledgments

This work is supported by the ANR DeKaloG (Decentralized Knowledge Graphs) project, ANR-19-CE23-0014, CE23 - Intelligence artificielle.

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Authors and Affiliations

  1. Univ Lyon, INSA Lyon, CNRS, UCBL, LIRIS, UMR5205, 69621, Villeurbanne, France

    Jennie Andersen, Sylvie Cazalens & Philippe Lamarre

Authors
  1. Jennie Andersen
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  2. Sylvie Cazalens
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  3. Philippe Lamarre
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Corresponding author

Correspondence to Jennie Andersen .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Catia Pesquita

  2. University of Nantes, Nantes, France

    Hala Skaf-Molli

  3. Foundation for Research and Technology, Heraklion, Greece

    Vasilis Efthymiou

  4. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  5. University of Paderborn, Paderborn, Germany

    Axel Ngonga

  6. Fraunhofer IAIS, Sankt Augustin, Germany

    Diego Collarana

  7. IBM Research, Rio de Janeiro, Brazil

    Renato Cerqueira

  8. Institut Polytechnique de Paris, Palaiseau, France

    Mehwish Alam

  9. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Cassia Trojahn

  10. University of Mannheim, Mannheim, Germany

    Sven Hertling

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Andersen, J., Cazalens, S., Lamarre, P. (2023). Assessing Knowledge Graphs Accountability. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_7

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  • DOI: https://doi.org/10.1007/978-3-031-43458-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43457-0

  • Online ISBN: 978-3-031-43458-7

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