Fabio Mariani, Max Koss, Lynn Rother, “People Information in Provenance Data: Biographical Entity Linking with Wikidata and ULAN”, in Život umjetnosti, vol. 114, nr. 1 (December 2024).
Lynn Rother, Max Koss, Fabio Mariani, “The Future of Provenance: Digital Cataloguing as Reparative Practice”, American Alliance of Museums, 2024.
Lynn Rother, Max Koss, Fabio Mariani, “Verknüpfte Daten: Die Zukunft der Provenienzforschung”, Museumskunde 89, 2024.
Lynn Rother, Fabio Mariani, Max Koss, “Interpreting Strings, Weaving Threads: Structuring Provenance Data with AI”, in: Sammlungsforschung im digitalen Zeitalter. Chancen, Herausforderungen und Grenzen, 2024.
Fabio Mariani, “Introducing VISU: Vagueness, Incompleteness, Subjectivity and Uncertainty in Art Provenance Data”, in: Proceedings of the Workshop on Computational Methods in the Humanities 2023.
Lynn Rother, Fabio Mariani, Max Koss, “Teaching Provenance to AI: An Annotation Scheme for Museum Data”, in AI in Museums – Reflections, Perspectives, Applications, 2023.
Lynn Rother, Fabio Mariani, Max Koss, “Hidden Value. Provenance as a Source for Social and Economic History”, Economic History Yearbook, Special Issue: Digital Methods, vol. 64, nr. 1 (May 2023).
Lynn Rother, Max Koss, Fabio Mariani, “Taking Care of History. Toward a Politics of Provenance Linked Open Data in Museums”, Perspectives on Data, Art Institute of Chicago, 2022.