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Multimodal metadata assignment for cultural heritage artifacts

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Abstract

We develop a multimodal classifier for the cultural heritage domain using a late fusion approach and introduce a novel dataset. The three modalities are Image, Text, and Tabular data. We based the image classifier on a ResNet convolutional neural network architecture and the text classifier on a multilingual transformer architecture (XML-Roberta). Both are trained as multitask classifiers. Tabular data and late fusion are handled by Gradient Tree Boosting. We also show how we leveraged a specific data model and taxonomy in a Knowledge Graph to create the dataset and to store classification results.

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Notes

  1. https://ada.silknow.org/.

  2. https://zenodo.org/record/6590957.

  3. https://zenodo.org/record/5743090.

  4. https://silknow.eu/.

  5. https://ontome.net/namespace/36.

  6. https://github.com/silknow/converter/.

  7. https://github.com/silknow/crawler/.

  8. https://skosmos.silknow.org/thesaurus/.

  9. https://www.geonames.org/.

  10. https://www.w3.org/TR/prov-dm/.

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Acknowledgements

This work was supported by the Slovenian Research Agency and the European Union’s Horizon 2020 research and innovation program under SILKNOW grant agreement No. 769504.

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Authors and Affiliations

  1. Department for Artificial Intelligence, Jošef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia

    Luis Rei & Dunja Mladenic

  2. Jošef Stefan Institute International Postgraduate School, Jamova Cesta 39, 1000, Ljubljana, Slovenia

    Luis Rei

  3. Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Nienburger Straße 1, D-30167, Hannover, Germany

    Mareike Dorozynski & Franz Rottensteiner

  4. EURECOM, Campus SophiaTech, 450 Route des Chappes, 06410, Biot, France

    Thomas Schleider & Raphaël Troncy

  5. Departamento de Historia del Arte, Universitat de València, Spain, Av. Blasco Ibáñez 28, 46010, Valencia, Spain

    Jorge Sebastián Lozano & Mar Gaitán Salvatella

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  1. Luis Rei
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Rei, L., Mladenic, D., Dorozynski, M. et al. Multimodal metadata assignment for cultural heritage artifacts. Multimedia Systems 29, 847–869 (2023). https://doi.org/10.1007/s00530-022-01025-2

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