Proceedings of the QURATOR 2021 Conference
                                       on
                         Digital Curation Technologies


                                               Preface



Digital curation is a complex time and knowledge intensive process, in which knowledge
workers create new content artefacts and knowledge insights from heterogeneous sources
(content, data, knowledge). The work required for this includes, among others, selecting,
summarizing, scheduling, translating, localizing, structuring, condensing, enriching,
visualizing and explaining the various contents, taking into account the steadily growing
speed, volume and number of sources such as online newspapers, news portals, social
media, linked data, business information systems, IoT data streams etc. Artificial Intelligence
approaches, in particular from the field of Language and Semantic Knowledge Technologies,
are used not only to support these tasks but to accelerate and qualitatively improve them.

The objectives of the second International Conference on Digital Curation Technologies,
Qurator 2021, are to provide a forum dedicated to the dissemination of original research,
the discussion of practical insights, the reporting on relevant experience relating to the
adoption of digital curation technologies in different application domains, and the
demonstration of tools in domain-specific use cases. It is also meant to be a forum for the
exchange of ideas and initial results, for example, through posters and demos.

Qurator 2021 was organized online at Fraunhofer FOKUS, February 08/12, 2021, Berlin,
Germany. The technical program includes carefully selected results from research and
development in twelve regular and six short papers. These were complemented by 2
posters/demos and two keynote talks by:
   • Dr. Georg Rehm, DFKI GmbH: “An overview of the QURATOR project and related
       initiatives”
   • Prof. Dr. Alan Akbik, Humboldt-Universität zu Berlin: “The Flair Framework for State-
       of-the-Art Natural Language Processing (and Few-Shot Learning)”
The Qurator 2021 organizers were pleased to note the applied nature of submissions.

The organizers wish to thank the members of the Programme Committee for reviewing the
submitted papers. We would also like to thank all authors of submitted papers. We further
wish to thank the keynote speakers for contributing their talks. We are very grateful to our
main sponsor, the German Federal Ministry of Education and Research (BMBF), and our
supporting partners Xinnovations e.V. and InfAI e.V. as well as our cooperation partners.

Berlin, Germany, February 2021,

Adrian Paschke, Georg Rehm, Jamal Al Qundus, Clemens Neudecker, Lydia Pintscher


                             Copyright 2021 for this preface by its authors.
         Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)