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Publikationen

Im Projekt KI in Museen

Publikationen, Vorträge und Poster aus dem Projekt.

  1. Mittelstaedt, F., Bitter, W., Wenzel, F., Müller-Budack, E., Ewerth, R., & Koch, S. (2026). KI-gestützte Erfassungsunterstützung in Zusammenarbeit mit den sechs Landesmuseen in Niedersachsen. Poster präsentiert auf der FOCUS: MUSEUM, Archäologisches Landesmuseum Brandenburg, Brandenburg an der Havel, April 2026.

  2. Mittelstaedt, F. & Wenzel, F. (2026). Human-in-the-Loop-Toponymerkennung. Vortrag, Hannover, Februar 2026. Kickoff mit Partnerprojekt DigiVerS.

  3. Koch, S. (2026). KI in Museen. Vortrag, Hannover, Februar 2026. Kickoff mit Partnerprojekt DigiVerS.

  4. Koch, S. (2025). KI in Museen. Vortrag beim STA-Kolloquium „In Zukunft mit KI“ des Standardisierungsausschusses (STA) zu seinem 25. Jubiläum, Deutsche Nationalbibliothek in Frankfurt am Main, Dezember 2025.

  5. Koch, S. (2025). KI in Museen. Vortrag auf der 18. Tagung der AG Regionalportale, Hannover, Juni 2025.

  6. Koch, S. (2025). KI in Museen. In In Zukunft mit KI - Aus Anlass des 25-jährigen Jubiläums des Standardisierungsausschusses - Die Dokumentation. https://wiki.dnb.de/spaces/STAK/pages/463153510/Dokumentation+zum+STA-Kolloquium+In+Zukunft+mit+KI

Frühere Publikationen der Projektpartner

Ausgewählte Publikationen unserer Teams aus der Zeit vor dem Projektstart.

  1. Rother, L., Koss, M., & Mariani, F. (2026). Provenance as Accountability: Transparent and Verifiable Cataloguing for the Digital Age. In Elgar Research Handbook on Art, Culture, Heritage and Law. Edward Elgar Publishing. https://doi.org/10.4337/9781800374225.00035

  2. Becker, J., Kaesberg, L. B., Bauer, N., Wahle, J. P., Ruas, T., & Gipp, B. (2025). MALLM: Multi-Agent Large Language Models Framework. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 418--439. https://doi.org/10.18653/v1/2025.emnlp-demos.29

  3. Kaesberg, L. B., Becker, J., Wahle, J. P., Ruas, T., & Gipp, B. (2025). Voting or Consensus? Decision-Making in Multi-Agent Debate. In Findings of the Association for Computational Linguistics: ACL 2025, 11640--11671. https://doi.org/10.18653/v1/2025.findings-acl.606

  4. Awale, S., Müller-Budack, E., Delaviz, R., & Ewerth, R. (2025). Exploring Patents Visually: An Interactive Search System for Multimodal Patent Image Search and Interpretation. In Workshop on Patent Text Mining and Semantic Technologies co-located with the ACM SIGIR Conference on Research and Development in Information Retrieval PatentSemTech@SIGIR 2025, Padua, Italy, July 17, 2025, 76--83. https://ceur-ws.org/Vol-4062/paper8.pdf

  5. Rother, L., Koss, M., & Mariani, F. (2024). Interpreting Strings, Weaving Threads: Structuring Provenance Data with AI. In Sammlungsforschung im Digitalen Zeitalter: Chancen, Herausforderungen und Grenzen. Wallstein. https://doi.org/10.15499/kds-005-008

  6. Mariani, F., Koss, M., & Rother, L. (2024). People Information in Provenance Data: Biographical Entity Linking with Wikidata and ULAN. Zivot Umjetnosti, 114(1), 148--161. https://doi.org/10.31664/zu.2024.114.07

  7. Stalter, J., Springstein, M., Kristen, M., Schneider, S., Müller-Budack, E., Ewerth, R., & Kohle, H. (2024). ReflectAI: Reflexionsbasierte künstliche Intelligenz in der Kunstgeschichte. In 10. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, DHd 2024, Passau, Germany, February 26 - March 3, 2024. https://doi.org/10.5281/ZENODO.10698460

  8. Rother, L., Koss, M., & Mariani, F. (2024). The Future of Provenance: Digital Cataloguing as Reparative Practice. In The Next Horizon of Museum Practice: Voluntary Repatriation, Restitution, and Reparations. American Alliance of Museums. https://www.aam-us.org/programs/about-aam/the-next-horizon/

  9. Springstein, M., Schneider, S., Rahnama, J., Stalter, J., Kristen, M., Müller-Budack, E., & Ewerth, R. (2024). Visual Narratives: Large-scale Hierarchical Classification of Art-historical Images. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 7195--7205. https://doi.org/10.1109/WACV57701.2024.00705

  10. Wahle, J. P., Gipp, B., & Ruas, T. (2023). Paraphrase Types for Generation and Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 12148--12164. https://doi.org/10.18653/v1/2023.emnlp-main.746

  11. Rother, L., Mariani, F., & Koss, M. (2023). Hidden Value: Provenance as a Source for Economic and Social History. Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook, 64(1), 111--142. https://doi.org/10.1515/jbwg-2023-0005

  12. Mariani, F. (2023). Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. In Proceedings of the Workshop on Computational Methods in the Humanities 2022: Lausanne, Switzerland, June 9–10, 2022, 63--84. https://ceur-ws.org/Vol-3602/

  13. Mariani, F., Rother, L., & Koss, M. (2023). Teaching Provenance to AI: An Annotation Scheme for Museum Data. In AI in Museums: Reflections, Perspectives and Applications. transcript. https://doi.org/10.1515/9783839467107-014

  14. Wahle, J. P., Ruas, T., Mohammad, S., & Gipp, B. (2022). D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2642--2651. https://aclanthology.org/2022.lrec-1.283/

  15. Zhukova, A., Hamborg, F., & Gipp, B. (2022). Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, 4884--4893. https://aclanthology.org/2022.lrec-1.522/

  16. Schneider, S., Springstein, M., Rahnama, J., Kohle, H., Ewerth, R., & Hüllermeier, E. (2022). iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen. In Tagung des Verbands Digital Humanities im deutschsprachigen Raum, DHd 2022, Potsdam, Germany, March 7 - 11, 2022. https://doi.org/10.5281/ZENODO.6310.528175

  17. Rother, L., Koss, M., & Mariani, F. (2022). Taking Care of History: Toward a Politics of Provenance Linked Open Data in Museums. In Perspectives on Data. Art Institute of Chicago. https://www.artic.edu/digital-publications/37/perspectives-on-data/25/taking-care-of-history

  18. Springstein, M., Schneider, S., Rahnama, J., Hüllermeier, E., Kohle, H., & Ewerth, R. (2021). iART: A Search Engine for Art-Historical Images to Support Research in the Humanities. In ACM Conference on Multimedia, MM 2021, Virtual Event, China, October 20 - 24, 2021, 2801--2803. https://doi.org/10.1145/3474085.3478564