QURATOR: Innovative Technologies for Content and Data Curation
April 25, 2020 Β· Declared Dead Β· π Conference on Digital Curation Technologies
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Authors
Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, JuliΓ‘n Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, SΓΆren RΓ€uchle, Jens Rauenbusch, Lisa Rutenburg, AndrΓ© Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim BΓΆttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David ZellhΓΆfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
arXiv ID
2004.12195
Category
cs.DL: Digital Libraries
Cross-listed
cs.CL,
cs.HC
Citations
35
Venue
Conference on Digital Curation Technologies
Last Checked
6 months ago
Abstract
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing. The availability of vast amounts of content and the pressure to publish new content quickly and in rapid succession requires faster, more efficient and smarter processing and generation methods. With a consortium of ten partners from research and industry and a broad range of expertise in AI, Machine Learning and Language Technologies, the QURATOR project, funded by the German Federal Ministry of Education and Research, develops a sustainable and innovative technology platform that provides services to support knowledge workers in various industries to address the challenges they face when curating digital content. The project's vision and ambition is to establish an ecosystem for content curation technologies that significantly pushes the current state of the art and transforms its region, the metropolitan area Berlin-Brandenburg, into a global centre of excellence for curation technologies.
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