Search results
Results: 121
Number of items: 121
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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 -
Groth, P., Blomqvist, E., & Sequeda, J. F. (2024). Editorial for the Special Issue on Knowledge Engineering. Journal of Web Semantics, 83, Article 100840. https://doi.org/10.1016/j.websem.2024.100840 -
Zhang, Z., Groth, P., Calixto, I., & Schelter, S. (2024). Directions Towards Efficient and Automated Data Wrangling with Large Language Models. In 2024 IEEE 40th International Conference on Data Engineering Workshops: ICDEW 2024 : 13-17 May 2024, Utrecht, Netherlands : proceedings (pp. 301-304). IEEE Computer Society. https://doi.org/10.1109/ICDEW61823.2024.00044 -
Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2024). Ontologies in Digital Twins: A Systematic Literature Review. Future Generation Computer Systems, 153, 442-456. https://doi.org/10.1016/j.future.2023.12.013 -
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 -
Thanapalasingam, T., van Krieken, E., Bloem, P., & Groth, P. (2023, April). IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14787483
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Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2023, July 21). Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8172341
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