The Oberseminar of the database group took place from May 23th to May 26th, 2023 in Darlingerode (Harz).

Talks

(Knowledge) Graphs

• Steven Lehmann: Link Prediction in Human Resource Management (bachelor thesis)
• Adrian Kuhn: Metadata Enrichment in the DBpedia Databus Ecosystem (bachelor thesis)
• Daniel Obraczka: Blocking for Knowledge Graphs
• Mouna Ammar: Self introduction
• Marvin Hover: Constructing, Benchmarking and Accessing (Domain)-Specific Knowledge Graphs
• Andre Wille: Temporal Graph Heatmap (bachelor thesis)
• Karim Rakia: Exchange of the Dataset API of Gradoop (bachelor thesis)

Privacy & Security

• Maximilian Heykeroth: Dataset Analysis for PPML (bachelor thesis)
• Lucas Lange: Recent Work in PPML
• Maja Schneider: Federated sharing of location data
• Manh Le Dac: Extension of Frost/Snowman for tag-based linkage result analysis (bachelor thesis)
• Florens Rohde: Multi-Stage Active Learning for PPRL

Physics-informed Machine Learning

• Benjamin Uhrich: Physics-informed Machine Learning in Complex Systems

Life Science

• Julius Ellermann: Data augmentation to predict dceMRI breast cancer images (bachelor thesis)
• Marie-Sophie von Braun: Tissue outcome prediction in acute ischemic stroke based on multimodal CT imaging
• Dusan Prasevic: Self introduction
• Christian Martin: Life Science and Medicine Topics at ScaDS.AI

Schedule

See Moodle course [1] for details.

v.r.n.l: Christopher Rost, Andre Wille, Florens Rohde, Prof. Dr. Erhard Rahm, Karim Rakia, Christian Martin (oben), Julius Ellermann (oben), Marie-Sophie von Braun, Victor Christen, Daniel Obraczka, Lucas Lange, Adrian Kuhn, Maximilian Heykeroth, Marvin Hofer, Mouna Ammar, Martin Franke.