Professorship for Information Systems, in particular Artificial Intelligence and Explainability
Organisational unit: Professoship
Organisation profile
The research group on Artificial Intelligence and Explainability focuses on hybrid AI methods to make machines understand human-created data. That is, we combine modern, sub-symbolic machine learning approaches with symbolic knowledge engineering based on Knowledge Graphs to develop transparent AI systems. We focus on Knowledge Extraction, Speech Assistants, Question Answering, AI ethics, and more.
- Published
Bridge-Generate: Scholarly Hybrid Question Answering
Taffa, T. A. & Usbeck, R., 23.05.2025, WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Jiang, L., Huang, J., Moller, C. & Usbeck, R., 2025, Proceedings - 2025 19th International Conference on Semantic Computing, ICSC 2025. Institute of Electrical and Electronics Engineers Inc., p. 28-35 8 p. (Proceedings - IEEE International Conference on Semantic Computing, ICSC).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- E-pub ahead of print
ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs
Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review