Home // Research // Big Data Analytics and Engineering // 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.
Universität Leipzig
rahm@informatik.uni-leipzig.de
Find out more about our research in the field of Big Data Analytics and Engineering.
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