Data and Knowledge Engineering

Welcome to the Data and Knowledge Engineering (DKE) group. The main research focus of DKE is to build and develop solutions that can be used as mediators between diverse data sources and different applications/end users making use of machine learning techniques. This includes, but not limited to, extracting data and knowledge from different data sources, knowledge representation using different semantic web technologies, combine and integrate these data making use of knowledge graphs. In particular, we focus on the following topics:

• Data and knowledge extraction from different data sources
• Knowledge representation
• Semantic data integration
• Knowledge graphs
• Machine learning for data management

At the moment we offer the following lectures for students of the University of Passau

• Semantic data integration
• Semantic web technologies
• Knowledge graphs
• Scientific data management

If you would like to write a Master's thesis in one of our research areas, please submit your CV, a transcript of records and a one-page essay on your motivation and send an e-mail to dke@uni-passau.de

• The system paper for the DRIFLUSS can be accessed through the CEUR proceedings link.
• DRIFLUSS, part of the SemTab Challenge 2023, was successfully presented at ISWC 2023 in both a poster and a presentation, earning the 'Artifacts Availability' badge.
• In the winter semester, 23/24 the chair of DKE offers courses: "Management of Scientific Data" and "Semantic Data Integration".