Our lab investigates intelligent systems that support people in their work with data and information from diverse sources. This includes addressing problems related to the preparation, management, integration and reuse of data. Performing both applied and fundamental research informed by empirical insights into data science practice. Topics of interest include: data supply chains, data provenance, transparency, information integration, automated knowledge base population, knowledge graph construction, and data semantics.
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