Data Quality and Data Integration

We develop generic approaches for a largely automated data cleaning and data integration, particularly for the generation and maintenance of large knowledge graphs. Furthermore, we devise active learning techniques to generate large labeled training datasets and develop approaches to leverage large data repositories for Artificial Intelligence and Machine Learning.

Prof. Dr.
Erhard Rahm

Universität Leipzig

rahm@informatik.uni-leipzig.de

Find out more about our research in the field of Big Data Analytics and Engineering.