E. (Erkan) Karabulut MSc
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 900
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2025
Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., van het Loo, H., Tello, A., & Truong, H. (2025). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria, & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Application Areas: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024 : proceedings (Vol. V, pp. 62-82). (Lecture Notes in Computer Science; Vol. 15223). Springer. https://doi.org/10.1007/978-3-031-75390-9_5 [details]- Huang, Y., Karabulut, E., & Degeler, V. (2025). Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain. In C. Badenes-Olmedo, I. Novalija, E. Daga, L. Stork, R. G. Pillai, L. Dierickx, B. Kruit, V. Degeler, J. Moreira, B. Zhang, R. Alharbi, Y. He, A. Graciotti, A. Morales Tirado, V. Presutti, & E. Motta (Eds.), Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-PDWT 2024): co-located with 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2024) : Amsterdam, Netherlands, November 26-28, 2024 (CEUR Workshop Proceedings; Vol. 3967). CEUR-WS. https://ceur-ws.org/Vol-3967/ELMKE_2024_paper_1.pdf [details]
2024
- 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 [details]
- 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 [details]
2023
- Karabulut, E., & Sofia, R. C. (2023). An Analysis of Machine Learning-Based Semantic Matchmaking. IEEE Access, 11, 27829-27842. https://doi.org/10.1109/ACCESS.2023.3259360 [details]
- 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 [details]
2022
- Bnouhanna, N., Karabulut, E., Sofia, R. C., Seder, E. E., Scivoletto, G., & Insolvibile, G. (2022). An Evaluation of a Semantic Thing To Service Matching Approach in Industrial IoT Environments. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 433-438). (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PerComWorkshops53856.2022.9767519
2021
- Karabulut, E., Bnouhanna, N., & Sofia, R. C. (2021). ML-based data classification and data aggregation on the edge. In CoNEXT-SW 2021 - Proceedings of the 2021 CoNEXT Student Workshop 2021 - Part of CoNEXT 2021 the 17th International Conference on emerging Networking EXperiments and Technologies (pp. 21-22). (CoNEXT-SW 2021 - Proceedings of the 2021 CoNEXT Student Workshop 2021 - Part of CoNEXT 2021 the 17th International Conference on emerging Networking EXperiments and Technologies). Association for Computing Machinery, Inc. https://doi.org/10.1145/3488658.3493786
2018
- Yazici, I. M., Karabulut, E., & Aktas, M. S. (2018). A Data Provenance Visualization Approach. In Proceedings - 2018 14th International Conference on Semantics, Knowledge and Grids, SKG 2018 (pp. 84-91). Article 8703970 (Proceedings - 2018 14th International Conference on Semantics, Knowledge and Grids, SKG 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SKG.2018.00019
2023
- Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348 [details]
2023
- Karabulut, E., Pileggi, S., Groth, P. & Degeler, V. (21-7-2023). Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review". Zenodo. https://doi.org/10.5281/zenodo.8172341
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., van het Loo, H., Tello, A., & Truong, H. (2025). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria, & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Application Areas: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024 : proceedings (Vol. V, pp. 62-82). (Lecture Notes in Computer Science; Vol. 15223). Springer.