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 paper titled “Generative Adversarial Network-based Approach to Scientific Time-Series Analysis” (authored by Akanksha et al.) has been accepted at DARLI-AP@EDBT 2025. Link
• Akanksha Vijayvergiya presented "Time-Series Analysis for Life-Science Data" at BTW 2025 in Bamberg. Link
• Amandeep Singh Gill successfully presented his master's thesis on "Automatic Prompt genErator for information extraction from semi structured documents" on Feb 26, 2025.
• Nouha Hayouni successfully presented her master's thesis on "Ontology Network Development - ReproduceMeON LLMs for inter and intra relationship generation" on Feb 20, 2025 
• Zeineb Ghorbel successfully presented her master's thesis on "Evaluation study on different CNN backbones using HD Raw Radar data for multi-task learning" on Feb 19, 2025 
• More