The Smart Data Analytics (SDA) research group, supported byProf. Dr. Jens Lehmann, is a virtual research group with researchers from TU Dresden and the Institute for Applied Computer Science as well as external PhD students. This research group works on the intersection of machine learning and knowledge graphs. This includes question answering & dialogue systems as well as representation learning for knowledge graphs.
Distributed Semantic Analytics
The group develops horizontally scalable analytics algorithms for analysing large scale knowledge graphs by distributing the computational tasks in the main memory of individual nodes.
Knowledge Graph Analysis
The group focuses on machine learning over knowledge graphs, in particular by computing embeddings and by learning description logic concepts.
Semantic Question Answering
The group focusses on querying knowledge graphs using natural language using both machine learning as well as rule-based natural language processing techniques.
Software Engineering for Data Science
The group researches on how data and software engineering methods can be aligned and how those two closely related areas can benefit from each other.
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