Search results
Results: 125
Number of items: 125
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Hulsebos, M., Demiralp, Ç., & Groth, P. (2023). GitTables: A Large-Scale Corpus of Relational Tables. Proceedings of the ACM on Management of Data, 1(1), Article 30. https://doi.org/10.1145/3588710 -
Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. In A. Waaler, E. Kharlamov, B. Zhou, A. Soylu, D. Kyritsis, D. Roman, O. Savkovic, & S. Staab (Eds.), Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) : co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Greece, Athens, 7 November 2023 Article 3 (CEUR workshop proceedings; Vol. 3647). CEUR-WS. https://doi.org/10.48550/arXiv.2310.07348 -
Dinh, T. A., den Boef, J., Cornelisse, J., & Groth, P. (2023). E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. In J. Wang, Y. He, T. N. Dinh, C. Grant, M. Qiu, & W. Pedrycz (Eds.), 23rd IEEE International Conference on Data Mining Workshops: 1-4 December 2023, Shanghai, China : proceedings (pp. 1084-1091). (ICDMW; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/ICDMW60847.2023.00142 -
Li, X., Hughes, A., Llugiqi, M., Polat, F., Groth, P., & Ekaputra, F. J. (2023). Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models. In S. Razniewski, J.-C. Kalo, S. Singhania, & J. Z. Pan (Eds.), Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC): co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 6, 2023 Article 3 (CEUR Workshop Proceedings; Vol. 3577). CEUR-WS. https://ceur-ws.org/Vol-3577/paper3.pdf -
Ayoughi, M., Mettes, P., & Groth, P. (2023). Self-Contained Entity Discovery from Captioned Videos. ACM Transactions on Multimedia Computing Communications and Applications, 19(5s), Article 177. https://doi.org/10.1145/3583138 -
Grafberger, S., Groth, P., & Schelter, S. (2023). Provenance Tracking for End-to-End Machine Learning Pipelines. In The ACM Web Conference 2023: Companion of the World Wide Web Conference WWW 2023 : April 30-May 4, 2023, Austin, Texas, USA (pp. 1512). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587557 -
Soiland-Reyes, S., Goble, C., & Groth, P. (2023). Evaluating FAIR Digital Object and Linked Data as distributed object systems. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2306.07436 -
Groth, P., Simperl, E., van Erp, M., & Vrandečić, D. (2023). Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century: report from Dagstuhl Seminar 22372. Dagstuhl Reports, 12(9), 60-120. https://doi.org/10.4230/DagRep.12.9.60 -
Hulsebos, M., Demiralp, Ç., & Paul, G. (2022, May 4). GitTables 1M [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6517052
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Nevin, J., Lees, M., & Groth, P. (2022). NIDMod - Network Integration and Diffusion Modeller [Data set]. GitHub. https://github.com/jim-g-n/nidmod
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