Publications
My research publications and academic contributions.
2025
- E. Karabulut, D. Daza, P. Groth and V. Degeler. "Discovering Association Rules in High-Dimensional Small Tabular Data". In ANSyA'25: 1st International Workshop on Advanced Neuro-Symbolic Applications, co-located with 28th European Conference on Artificial Intelligence (ECAI 2025). PDF
- E. Karabulut, P. Groth, and V. Degeler. "Pyaerial: Scalable association rule mining from tabular data". SoftwareX, 31:102341, 2025. ISSN 2352-7110. PDF
- E. Karabulut, P. Groth, V. Degeler, Neurosymbolic association rule mining from tabular data, in: Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning, volume 284 of Proceedings of Machine Learning Research, PMLR, 2025, pp. 565–588. PDF
- Erkan Karabulut, Paul Groth, and Victoria Degeler. "Learning Semantic Association Rules from Internet of Things Data". Neurosymbolic Artificial Intelligence, 2025:1. doi:10.1177/29498732251377518. PDF
2024
- Karabulut, Erkan, Paul Groth, and Victoria Degeler. "3K: Knowledge-Enriched Digital Twin Framework." (2024). In LongevIoT'24: 1st International Workshop on Longevity in IoT Systems, co-located with 14th International Conference on Internet of Things, November 19–22, 2024, Oulu, Finland. PDF
- Degeler, Victoria, et al. "DiTEC: Digital twin for evolutionary changes in water distribution networks." International Symposium on Leveraging Applications of Formal Methods. Cham: Springer Nature Switzerland, 2024. PDF
- Huang, Yiwen, Erkan Karabulut, and Victoria Degeler. "Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain.". ELMKE'24: Evaluation of Language Models in Knowledge Engineering, co-located with 24th International Conference on Knowledge Engineering and Knowledge Management, 26-28 November, 2024, Amsterdam, The Netherlands. PDF
- Erkan Karabulut, Victoria Degeler, and Paul Groth. AE SemRL: Learning Semantic Association Rules with Autoencoders, 2024. (Earlier version of Aerial) PDF
2023
- Karabulut, Erkan, Degeler, Victoria, and Groth, Paul. "Semantic Association Rule Learning from Time Series Data and Knowledge Graphs." In SemIIM'23: 2nd International Workshop on Semantic Industrial Information Modelling co-located with 22nd International Semantic Web Conference (ISWC 2023). PDF
- Karabulut, Erkan, Salvatore F. Pileggi, Paul Groth, and Victoria Degeler. "Ontologies in digital twins: A systematic literature review." Future Generation Computer Systems (2023). PDF
- E. Karabulut and R. C. Sofia, "An Analysis of Machine Learning-based Semantic Matchmaking," in IEEE Access, doi: 10.1109/ACCESS.2023.3259360. 2023. PDF
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. PDF
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. PDF
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. PDF