Erkan Karabulut

Erkan Karabulut

PhD Student, University of Amsterdam


I am a CS researcher, seeking to produce new knowledge while sitting on my chair and gobble up freshly-baked knowledge that I access with a few clicks, despite there is nothing new under the sun. If I get bored, I climb some mountains.

More formally, I am a PhD student doing research on knowledge modeling and reasoning systems for smart environments. I work with a group of smart people at the INtelligent Data Engineering Lab (INDElab), University of Amsterdam. And my supervisors are Dr. Viktoriya Degeler and Prof. Dr. Paul Groth.

Previously, I have obtained my MSc. degree in Computer Science from the Technical University of Munich, and my BSc. degree in Computer Engineering from the Yildiz Technical University, Istanbul İstanbul <3.

I worked as a research assistant at the Bavarian Research Institute for Software-Intensive Systems (fortiss) between 2020-2022. And I worked as a student assistant in the Software Quality R&D Lab that is part of the CE department of my university, between 2017-2019.


  • October 2023 - I reviewed Master Theses for Amsterdam AI Thesis Award.

  • October 2023 - A workshop paper entitled Semantic Association Rule Learning from Time Series Data and Knowledge Graphs is accepted to SemIIM23 workshop as part of the Semantic Web Conference.

  • September 2023 - I attended the 19th Reasoning Web Summer School as part of Declarative AI conference in Oslo. Summary.

  • August 2023 - A preprint entitled "Ontologies in digital twins: A systematic literature review" is now out on arXiv.

  • July 2023 - I reviewed submission(s) for CIKM23.

  • February 2023 - Started my PhD at INDElab, University of Amsterdam.

  • August 2022 - Graduated from the Technical University of Munich, Computer Science MSc. program.

  • October 2020 - Started working at the Bavarian Research Institute for Software Intensive Systems (fortiss), as a research assistant.

  • October 2019 - Started my CS MSc. degree at the Technical University of Munich.

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  • 2023 - E.Karabulut, V. Degeler, P. Groth, Semantic Association Rule Learning from Time Series Data and Knowledge Graphs, 2023. arXiv:2310.07348. Link.

  • 2023 - (Preprint) E. Karabulut, S. F. Pileggi, P. Groth, V. Degeler, Ontologies in digital twins: A systematic literature review, 2023. arXiv:2308.15168. Link.

  • 2023 - E. Karabulut and R. C. Sofia, "An Analysis of Machine Learning-based Semantic Matchmaking," in IEEE Access, doi: 10.1109/ACCESS.2023.3259360. 2023. Link.

  • 2022 - Bnouhanna, N., Karabulut, E., Sofia, R. C., Seder, E. E., Scivoletto, G., & Insolvibile, G. (2022, March). 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) (pp. 433-438). IEEE. Link.

  • 2021 - Karabulut, Erkan, Nisrine Bnouhanna, and Rute C. Sofia. "ML-based data classification and data aggregation on the edge." Proceedings of the CoNEXT Student Workshop. 2021. Link.

  • 2018 - Yazici, Ilkay Melek, Erkan Karabulut, and Mehmet S. Aktas. "A data provenance visualization approach." 2018 14th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2018. Link.


  • MSc. Thesis: ML-based Data Classification and Data Aggregation on the Edge. May 2022. Supervisors: Prof. Dr. Rute C. Sofia, Prof. Dr.-Ing. Jörg Ott.

  • BSc. Thesis: Adaptive Learning-based Tracing Tool for Weather Research and Forecasting Software. January 2019. Supervisor: Assoc. Prof. Dr. Mehmet S. Aktaş