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Results: 122
Number of items: 122
  • Open Access
    Grafberger, S. (2025). Declarative machine learning pipeline management via logical query plans. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Polat, F., Tiddi, I., & Groth, P. (2025). Testing prompt engineering methods for knowledge extraction from text. Semantic Web, 16(2), Article 2. https://doi.org/10.3233/SW-243719
  • Brady, E., & Groth, P. (2025, July 11). Data Modeling in the Wild: A Corpus of Data Model Diagrams from Public GitHub Repositories [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15862889
  • Open Access
    Carriero, V. A., Groth, P., & Presutti, V. (2024). Empirical ontology design patterns and shapes from Wikidata. Semantic Web, 15(6), 2293-2317. https://doi.org/10.3233/sw-243613
  • Open Access
    Zhang, P., Cao, C., Zaporojets, K., & Groth, P. (2024). CYCLE: Cross-Year Contrastive Learning in Entity-Linking. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 3197-3206). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679702
  • Open Access
    Allen, B. P., Polat, F., & Groth, P. (2024). SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection. In A. K. Ojha, A. S. Doğruöz, H. T. Madabushi, G. Da San Martino, S. Rosenthal, & A. Rosá (Eds.), The 18th International Workshop on Semantic Evaluation (SemEval-2024) : proceedings of the workshop: SemEval 2024 : June 20-21, 2024 (pp. 839-844). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.semeval-1.120
  • Open Access
    Grafberger, S., Groth, P., & Schelter, S. (2024). Towards Interactively Improving ML Data Preparation Code via “Shadow Pipelines”. In Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM): in conjunction with the 2024 ACM SIGMOD/PODS Conference, Santiago, Chile (pp. 7–11). The Association for Computing Machinery. https://doi.org/10.1145/3650203.3663327
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