Prof. Dr. Felix Naumann

Dr. Ioannis Koumarelas

I am a former Ph.D. student at the Infomation Systems Research Group and my research started in collaboration with SAP and SAP Concur. Through my Ph.D. I have worked in the general area of Data Cleaning, Data Preparation, with my main focus on Duplicate Detection.

für Softwaresystemtechnik
Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam
Office: F-2.05, Campus II

Phone: +49 331 5509 1377
Email:  Ioannis Koumarelas (click)
Research: GoogleScholar, ResearchGate, DBLP
Profiles: LinkedIn, GitHub

Research Interests

  • Duplicate Detection (Record Linkage, Entity Resolution etc.), Data Cleaning, Data Preparation
  • Address Geocoding
  • Parallel and Distributed Systems, Big Data Management
  • Data Profiling
  • Data Mining, Machine Learning, Deep Learning


Cooperation project with SAP and SAP Concur, for Vendor Data Cleaning of hotels. Our main task has been to apply Duplicate Detection, thus identify duplicates and understand what are their causes. The approaches we followed mainly use data preparation and matching dependencies, for which more information is further available through our publications.

Publication list


  • 1.
    Loster, M., Koumarelas, I., Naumann, F.: Knowledge Transfer for Entity Resolution with Siamese Neural Networks. Journal of Data and Information Quality. 13, (2021).


  • 1.
    Koumarelas, I., Jiang, L., Naumann, F.: Data Preparation for Duplicate Detection. Journal of Data and Information Quality (JDIQ). 12, 1–24 (2020).
  • Efficient Discovery of Ma... - Download
    Schirmer, P., Papenbrock, T., Koumarelas, I., Naumann, F.: Efficient Discovery of Matching Dependencies. ACM Transactions on Database Systems (TODS). 45, 1–33 (2020).
  • MDedup: Duplicate Detecti... - Download
    Koumarelas, I., Papenbrock, T., Naumann, F.: MDedup: Duplicate Detection with Matching Dependencies. Proceedings of the VLDB Endowment (PVLDB). 13, 712–725 (2020).


  • Experience: Enhancing Add... - Download
    Koumarelas, I., Kroschk, A., Mosley, C., Naumann, F.: Experience: Enhancing Address Matching with Geocoding and Similarity Measure Selection. Journal of Data and Information Quality (JDIQ). 10, 8:1–8:16 (2018).
  • Towards Progressive Searc... - Download
    Pietrangelo, A., Simonini, G., Bergamaschi, S., Naumann, F., Koumarelas, I.: Towards Progressive Search-driven Entity Resolution. Italian Symposium on Advanced Database Systems (SEBD) (2018).


  • Combination of Rule-based... - Download
    Samiei, A., Koumarelas, I., Loster, M., Naumann, F.: Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities. Data Science for Macro-Modeling with Financial and Economic Datasets (DSMM). ACM (2016).