2025 - E. Karabulut, P. Groth, and V. Degeler. Pyaerial: Scalable association rule mining from tabular data. SoftwareX, 31:102341, 2025. ISSN 2352-7110. Link
2025 - E. Karabulut, P. Groth, and V. Degeler. Neurosymbolic association rule mining from tabular data. In Proceedings of the 19th Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), Accepted/In Press. Link
2024 - E. Karabulut, P. Groth, and V. Degeler. Learning semantic association rules from internet of things data. Neurosymbolic Artificial Intelligence, 2025. Accepted/In Press. Link
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. Link
2024 - 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. Link
2024 - 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. Link
2024 - Erkan Karabulut, Victoria Degeler, and Paul Groth. AE SemRL: Learning Semantic Association Rules with Autoencoders, 2024. (Earlier version of Aerial) Link
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). Link
2023 - Karabulut, Erkan, Salvatore F. Pileggi, Paul Groth, and Victoria Degeler. "Ontologies in digital twins: A systematic literature review." Future Generation Computer Systems (2023). 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