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.
- 2025
- Published
HySQA: Hybrid Scholarly Question Answering
Taffa, T., Banerjee, D., Assabie, Y. & Usbeck, R., 26.08.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). Amsterdam: IOS Press BV, p. 247-263 17 p. (Studies on the Semantic Web; vol. 62).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph
Banerjee, D., Taffa, T. A. & Usbeck, R., 30.07.2025Research output: other publications › Other › Research
- Published
Automating SPARQL Query Translations between DBpedia and Wikidata
Bartels, M. C., Banerjee, D. & Usbeck, R., 14.07.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Cover 74617 Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). IOS Press BV, p. 176-193 18 p. (Studies on the Semantic Web; vol. 62).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- 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
- Published
Biomedical Entity Linking with Triple-aware Pre-Training
Yan, X., Möller, C. & Usbeck, R., 16.06.2025, Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data 2025. Dessi, R., Jeenu, J., Dessi, D., Osborne, F. & Aras, H. (eds.). Aachen: CEUR-WS, 8 p. (CEUR Workshop Proceedings; vol. 3979).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- 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
Knowledge Graph Question Answering and Large Language Models
Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
- Published
Neuro-Symbolic Relation Extraction
Yan, X., Usmanova, A., Möller, C., Westphal, P. & Usbeck, R., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 550-576 27 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
- Published
SH-CoDE: Scholarly Hybrid Complex Question Decomposition and Execution
Taffa, T. A. & Usbeck, R., 05.02.2025, Proceedings - 2025 19th International Conference on Semantic Computing, ICSC 2025: ICSC 2025, Laguna Hills, CA, USA, 3-5 February 2025; Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 128-135 8 p. 11036317. (Proceedings - IEEE International Conference on Semantic Computing, ICSC).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Junior fellows and distinguished dissertation of the GI and AI for crisis
Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.Research output: Journal contributions › Other (editorial matter etc.) › Research