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.
What are we offering?
Data science and AI-expertise
Discover our homepage here.
To learn more about Prof. Dr. Elena Demidova, follow her on ORCID.
Methods
- Machine learning
- Deep learning
- Knowledge graphs
5 selected publications
- Nicolas Tempelmeier, Elena Demidova. Attention-Based Vandalism Detection in OpenStreetMap. In Proc. of TheWebConf 2022, to appear.
- 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).
- 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).
- 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).
- 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.
