Publikationen
Ausgewählte Publikationen unseres Teams.
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Rother, L., Koss, M., & Mariani, F. (2026). Provenance as Accountability: Transparent and Verifiable Cataloguing for the Digital Age. Edward Elgar Publishing. https://doi.org/10.4337/9781800374225.00035
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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
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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
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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
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Rother, L., Koss, M., & Mariani, F. (2024). Interpreting Strings, Weaving Threads: Structuring Provenance Data with AI. Wallstein. https://doi.org/10.15499/kds-005-008
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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
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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
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Rother, L., Koss, M., & Mariani, F. (2024). The Future of Provenance: Digital Cataloguing as Reparative Practice. American Alliance of Museums. https://www.aam-us.org/programs/about-aam/the-next-horizon/
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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
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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
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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/
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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
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Mariani, F., Rother, L., & Koss, M. (2023). Teaching Provenance to AI: An Annotation Scheme for Museum Data. transcript. https://doi.org/10.1515/9783839467107-014
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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/
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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
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Rother, L., Koss, M., & Mariani, F. (2022). Taking Care of History: Toward a Politics of Provenance Linked Open Data in Museums. Art Institute of Chicago. https://www.artic.edu/digital-publications/37/perspectives-on-data/25/taking-care-of-history
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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/
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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