Date & Time: December 7, 2020 2:00pm – 3:30pm
Location: Virtual

This new lecture series for the Adelphi community aims to highlight how working across sectors, disciplines, and geographies helps us to identify needs and develop solutions to effectively support knowledge production and dissemination. It will explore how we can change the culture of higher education, embrace new opportunities to engage diverse communities in knowledge-making, as well as global knowledge sharing in accessible and expedited ways.

Despite improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based.

The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review, and the reproducibility crisis.

We need to represent, analyze, augment, and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artifacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced, and automatic augmentation and finally, the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. In this talk, we will present the first steps in this direction and present some use cases in the context of our Open Research Knowledge Graph initiative and the ERC ScienceGRAPH project.

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About the Speaker

Professor Sören Auer

Following stations at the universities of Dresden, Ekaterinburg, Leipzig, Pennsylvania, Bonn and the Fraunhofer Society, Prof. Auer was appointed Professor of Data Science and Digital Libraries at Leibniz Universität Hannover and Director of the TIB in 2017. Prof. Auer has made important contributions to semantic technologies, knowledge engineering and information systems. He is the author (resp. co-author) of over 100 peer-reviewed scientific publications. He has received several awards, including an ERC Consolidator Grant from the European Research Council, a SWSA ten-year award, the ESWC 7-year Best Paper Award, and the OpenCourseware Innovation Award. He has led several large collaborative research projects, such as the EU H2020 flagship project BigDataEurope. He is co-founder of high potential research and community projects such as the Wikipedia semantification project DBpedia, the OpenCourseWare authoring platform and the innovative technology start-up Prof. Auer was founding director of the Big Data Value Association, led the semantic data representation in the Industrial/ International Data Space, is an expert for industry, European Commission, W3C and member of the advisory board of the Open Knowledge Foundation.

For more information regarding this event, please contact:

Cara Terzulli

Violeta Ilik

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