The Chair of Data and Knowledge Engineering offers lectures and seminars for students of the University of Passau in following domains:

• Semantic Data Integration
• Semantic Web Technologies
• Knowledge Graphs
• Management of Scientific Data

These courses are designed to teach students the skills and knowledge they need to work with data and knowledge in a variety of settings.

Semantic data integration is the process of combining data from different sources into a single, unified view. This can be a challenging task, as data from different sources may be in different formats and have different semantics. Semantic data integration techniques can help to overcome these challenges and create a unified view of data that can be used for a variety of purposes.

Semantic web technologies are a set of technologies that enable the creation and use of semantic data on the web. Semantic web technologies can be used to create knowledge graphs, which are graphs of interconnected entities and their relationships. Knowledge graphs can be used for a variety of purposes, such as search, recommendation, and question answering.

Knowledge graphs are a type of semantic web technology that represent knowledge as a graph of interconnected entities and their relationships. Knowledge graphs can be used for a variety of purposes, such as search, recommendation, and question answering.

Management of Scientific Data is the process of managing and analyzing scientific data. This can be a challenging task, as scientific data is often complex and heterogeneous. Scientific data management techniques can help to overcome these challenges and make scientific data more accessible and usable.