Degeler, V. O., 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. Advance online publication. https://doi.org/10.1007/978-3-031-75390-9_5
Karabulut, E., Groth, P. T., & Degeler, V. O. (in press). 3K: Knowledge-Enriched Digital Twin Framework. In 14th International Conference on the Internet of Things (IoT 2024) workshops: International Workshop on Longevity in IoT Systems (LongevIoT)
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]
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
Yiwen, H., Karabulut, E., & Degeler, V. O. (in press). Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain. In EKAW 2024 Workshops, Tutorials, Posters and Demos, 24th International Conference on Knowledge Engineering and Knowledge Management
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]
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
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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