N. N.


Dr. Shufan Jiang a postdoctoral researcher since October 2023 at Information Service Engineering Team at FIZ Karlsruhe and Karlsruhe Institute of Technology under the supervision of Harald Sack.

Between December 2022 and October 2023, she was a postdoctoral researcher (more precisely, Temporary Lecturer and Research Staff, ATER) at Computer Science Department of Ecole Normale Supérieure, VALDA Team. She has worked on the TheoremKB research project under the supervision of Pierre Senellart. She has also participated in the teaching of the Centre de formation sur l’environnement et la société (CERES).

She obtained a Ph.D. in Computer Science from the University of Reims Champagne-Ardenne and ISEP Paris in December 2022. She was co-supervised by Rafael Angarita, Stéphane Cormier, Raja Chiky and Francis Rousseaux.

Her work explores knowledge reconstruction from textual, heterogeneous and domain-specific data.



  • PhD in Computer Science, 2022 at Reims Champagne-Ardenne University & ISEP Paris
  • MEng in Architecture of Information Systems, 2015, at ISEP Paris
  • BSc in Computer Science and Technology, 2014 at Nanjing University of Aeronautics and Astronautics

Other Scientific Activities

Dr. Shufan Jiang’s Website: https://shufanjiang.github.io


How to Turn Card Catalogs into LLM Fodder
Tan, M. A.; Jiang, S.; Sack, H.
2024. Proceedings of the Workshop on Deep Learning and Linked Data (DLnLD), Torino, 21st May 2024, Hrsg.: G. Sérasset, H. G. Oliveira, G. V. Oleskeviciene, 53 – 65, European Language Resources Association (ELRA) VolltextVolltext der Publikation als PDF-Dokument