Smart Data Analytics

The Smart Data Analytics (SDA) research group, supported by Prof. 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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