Demidova Group

Beschreibung: The Data Science & Intelligent Systems (DSIS) research group lead by Prof. Dr. Elena Demidova at the University of Bonn develops innovative machine-learning- and knowledge-based, interactive, transparent, and explainable data science methods for large-scale, heterogeneous data sets. DSIS research interests include spatio-temporal and multilingual data, Open Data, the Web, and Semantic Web. 

DISCOVER our homepage here.

Methods

  • machine learning
  • deep learning
  • knowledge graphs

5 selected publications

  1. Nicolas Tempelmeier, Elena Demidova. Attention-Based Vandalism Detection in OpenStreetMap. In Proc. of TheWebConf 2022, to appear.
  2. Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova. WorldKG: A World-Scale Geographic Knowledge Graph. In Proc. of the 30th ACM International Conference on Information and Knowledge Management (ACM CIKM 2021). 
  3. Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova. GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on a World Scale. In Proc. of the 30th ACM International Conference on Information and Knowledge Management (ACM CIKM 2021).
  4. Alishiba Dsouza, Nicolas Tempelmeier, Elena Demidova. Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs. In Proc. of the 20th International Semantic Web Conference (ISWC 2021). 
  5. Nicolas Tempelmeier and Elena Demidova. (2021) Linking OpenStreetMap with knowledge graphs – Link discovery for schema-agnostic volunteered geographic information. Future Generation Computer Systems 116 (2021). Elsevier.