Search results
Results: 125
Number of items: 125
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Jackson, D., Groth, P., & Harmouch, H. (2025). BASIL DB: bioactive semantic integration and linking database. Journal of Biomedical Semantics, 16, Article 14. https://doi.org/10.1186/s13326-025-00336-3 -
Zhang, Z., Groth, P., Calixto, I., & Schelter, S. (2025). A Deep Dive Into Cross-Dataset Entity Matching with Large and Small Language Models. In A. Simitsis, B. Kemme, A. Queralt, O. Romero, & P. Jovanovic (Eds.), Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025 (pp. 922-934). (Advances in Database Technology; Vol. 28, No. 3). OpenProceedings.org. https://doi.org/10.48786/EDBT.2025.75 -
Ayoughi, M., van Spengler, M., Mettes, P., & Groth, P. (2025). Designing Hierarchies for Optimal Hyperbolic Embedding. In E. Curry, M. Acosta, M. Poveda-Villalón, M. van Erp, A. Ojo, K. Hose, C. Shimizu, & P. Lisena (Eds.), The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025 : proceedings (Vol. I, pp. 362-382). (Lecture Notes in Computer Science; Vol. 15718). Springer. https://doi.org/10.1007/978-3-031-94575-5_20 -
Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341 -
Allen, B. P., Chhikara, P., Ferguson, T. M., Ilievski, F., & Groth, P. (2025). Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. Proceedings of Machine Learning Research, 284, 392-419. https://proceedings.mlr.press/v284/allen25a.html -
Karabulut, E., Groth, P., & Degeler, V. (2025). Neurosymbolic Association Rule Mining from Tabular Data. Proceedings of Machine Learning Research, 284, 565-588. https://doi.org/10.48550/arXiv.2504.19354 -
Borgman, C. L., & Groth, P. (2025). Infrastructure, Intermediaries, and Artificial Intelligence: A Rejoinder to Commentaries on “From Data Creator to Data Reuser: Distance Matters”. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.c17c3adb -
Karabulut, E., Groth, P., & Degeler, V. (2024). 3K: Knowledge-Enriched Digital Twin Framework. In Proceedings of the 14th International Conference on the Internet of Things 2024: IoT2024 : Oulu, Finland, 19.-22. Nov 2024 (pp. 188-193). Association for Computing Machinery. https://doi.org/10.1145/3703790.3703834
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