We are excited to announce that the papers "ReCLAIM: An Integrated Platform for Data on Nazi-Looted Cultural Assets" and "A Data Quality Dashboard for (Security) Knowledge Graphs" are accepted to be presented at the 21st Conference on Database Systems for Business, Technology and Web (BTW) in 2025.
ReCLAIM: An Integrated Platform for Data on Nazi-Looted Cultural Assets
Authors
Zero S. Janetzki (Hasso Plattner Institute)
Antonio Krühler (Hasso Plattner Institute)
Luise Garberding (Hasso Plattner Institute)
Romy Karbstein (Hasso Plattner Institute)
Carl Friedrich Mecking (Hasso Plattner Institute)
Konstantin Sturtzkopf (Hasso Plattner Institute)
Sebastian Walker (Hasso Plattner Institute)
Jan Wilhelm (Hasso Plattner Institute)
Sedir Mohammed (Hasso Plattner Institute)
Felix Naumann (Hasso Plattner Institute)
Abstract
During the Second World War, the National Socialists looted cultural assets from people of Jewish descent. The looted assets were documented, first by the perpetrators and later by the Allies. The resulting archival artifacts are scattered across sources, complicating search and linking of the entries across those sources. The ReCLAIM platform collects, prepares, standardizes, and links archival data on Nazi-looted cultural assets from various sources. Designed for both provenance researchers and non-experts, it offers user-friendly features, such as intuitive full-text search, advanced search options for refined queries, and easy-to-use comparison options.
Because the underlying data is only partially standardized and subject to errors from OCR digitization processes, a critical aspect of data preparation ensures that original values are preserved alongside processed counterparts. By streamlining access to this information, ReCLAIM aims to support provenance research and facilitate the study of cultural heritage affected by historical injustice.
A Data Quality Dashboard for (Security) Knowledge Graphs
Authors
Davyd Pizhuk (Software Competence Center Hagenberg GmbH)
Lisa Ehrlinger (Hasso Plattner Institute)
Gandalf Denk (LIMES Security GmbH)
Verena Geist (Software Competence Center Hagenberg GmbH)
Abstract
Knowledge graphs play a crucial role in storing and reusing domain knowledge for data analytics. For example, knowledge graphs can be used to model security domain knowledge (such as technical standards) to support software architects in developing secure software systems. Assessing and assuring the quality of the data in these graphs is critical to enable trust in the use of this machine-readable domain knowledge, and to ensure high-quality results for downstream tasks that build on this knowledge. In this paper, we present a visual data quality dashboard, which allows domain experts to verify the quality of their domain knowledge graph along different dimensions. We demonstrate the use of the dashboard by means of a previously built security knowledge graph.
