A Data Provenance Visualization Approach. - Ilkay Melek Yazici; Erkan Karabulut; Mehmet S. Aktas (SKG, 2018)

ML-based data classification and data aggregation on the edge. - Erkan Karabulut; Nisrine Bnouhanna; Rute C. Sofia (StudentWorkshop@CoNEXT, 2021)

An Evaluation of a Semantic Thing To Service Matching Approach in Industrial IoT Environments. - Nisrine Bnouhanna; Erkan Karabulut; Rute C. Sofia; Erin E. Seder; Gabriele Scivoletto; Gianluca Insolvibile (PerCom Workshops, 2022)

Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. - Erkan Karabulut; Victoria Degeler; Paul Groth (SemIIM, 2023)

An Analysis of Machine Learning-Based Semantic Matchmaking. - Erkan Karabulut; Rute C. Sofia (IEEE Access, 2023)

Directed Acyclic Graph Based Blockchain Systems. - Anand Devarajan; Erkan Karabulut (CoRR, 2023)

Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain. - Yiwen Huang; Erkan Karabulut; Victoria Degeler (EKAW (Companion), 2024)

3K: Knowledge-Enriched Digital Twin Framework. - Erkan Karabulut; Paul Groth; Victoria Degeler (IoT, 2024)

DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. - Victoria Degeler; Mostafa Hadadian Nejad Yousefi; Erkan Karabulut; Alexander Lazovik; Hester van het Loo; Andrés Tello; Huy Truong (ISoLA (5), 2024)

AE SemRL: Learning Semantic Association Rules with Autoencoders. - Erkan Karabulut; Victoria Degeler; Paul Groth (CoRR, 2024)

Learning Semantic Association Rules from Internet of Things Data. - Erkan Karabulut; Paul Groth; Victoria Degeler (CoRR, 2024)

Ontologies in digital twins: A systematic literature review. - Erkan Karabulut; Salvatore F. Pileggi; Paul Groth; Victoria Degeler (Future Gener. Comput. Syst., 2024)

Neurosymbolic Association Rule Mining from Tabular Data. - Erkan Karabulut; Paul Groth; Victoria Degeler (CoRR, 2025)