Oct. 01, 2018 to Apr. 30, 2022

Digital curation is a complex and time-consuming process in which knowledge workers create new content and knowledge insights from heterogeneous sources. Many industries are under pressure to produce more and more content in shorter periods for digital publications. The Qurator project aims to help curate activities and digital content generation in various industries that are more high-quality, efficient, and cost-effective through automation. Researchers and editors will be supported in curating digital content. In the project, intelligent methods and procedures based on generic language and knowledge technologies, machine learning (ML), and artificial intelligence (AI) are used for this purpose.

The Data Analytics Center (DANA) of Fraunhofer FOKUS is one of ten project partners in the Qurator project. DANA scientists deal with knowledge sources and use Semantic Web technologies to reorder, link, and enrich the artifacts they contain. This approach provides a better overview of the data and helps to extract knowledge insights that can be used to support knowledge-based AI systems.

DANA combines data analytics, artificial intelligence, and semantic knowledge technologies to transform data and information into “corporate smart insights”. “Corporate Smart Insights” stands for insights and knowledge gained through data analysis and knowledge extraction. They are semantically curated as so-called “Corporate Smart Insights” as new knowledge artifacts in corporate knowledge graphs and can be reused as valuable corporate knowledge for AI-supported decisions and actions.

QURATOR is funded by the German Federal Ministry of Education and Research (BMBF) as part of the “Unternehmen Region” program. The twelve alliance partners include the Berlin research centers DFKI and Fraunhofer FOKUS as well as the companies 3pc, Ada Health GmbH, ART+COM AG, Condat AG, Semtation GmbH, Ubermetrics, Wikimedia Deutschland, and the Prussian Cultural Heritage Foundation (Berlin State Library).

Related Links: