Bio

As of October 2019, Ekaterini Ioannou joined the Department of Management as an Assistant Professor in Information Management. Previously, Ekaterini worked at the Eindhoven University of Technology, the Open University of Cyprus, and was an adjunct faculty at EPFL in Switzerland. Her research focuses on information management with an emphasis on the challenges of managing data with uncertainties, heterogeneity or correlations. She also investigates blocking-based mechanisms for entity resolution over very large data collections as well as unstructured data (e.g., information from the Web).

Courses

Recent publications

  1. Entity resolution in large patent databases: An optimization approach

    Caron, E., & Ioannou, E. (2021). Entity resolution in large patent databases: An optimization approach. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 23th International Conference on Enterprise Information Systems (ICEIS 2021) (23 ed., Vol. 1, pp. 148-156). INSTICC Press.
  2. The Four Generations of Entity Resolution

    Papadakis, G., Ioannou, E., Thanos, E., & Palpanas, T. (2021). The Four Generations of Entity Resolution. (Synthesis Lectures on Data Management; Vol. 16, No. 2). Morgan & Claypool Publishers. http://10.2200/S01067ED1V01Y202012DTM064
  3. Entity resolution: Past, present and yet-to-come - From structured to…

    Papadakis, G., Ioannou, E., & Palpanas, T. (2020). Entity resolution: Past, present and yet-to-come: From structured to heterogeneous, to crowd-sourced, to deep learned. Paper presented at EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark.
  4. EMBench++ - Benchmark data for thorough evaluation of matching-relate…

    Ioannou, E., & Velegrakis, Y. (2019). EMBench++: Benchmark data for thorough evaluation of matching-related methods. Semantic web, 10(2), 435-450.
  5. Probabilistic Entity Resolution

    Ioannou, E. (2018). Probabilistic Entity Resolution. In L. Liu, & M. Ozsu (Eds.), Encyclopedia of Database Systems, Second Edition Springer.

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