Dr.  Sören Auer

Director TIB, Head of research group Data Science and Digital Libraries

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 SlideWiki.org and the innovative technology start-up eccenca.com. 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.

• Digitalization of Scholarly Communication - Towards a Knowledge Graph for Science
  Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely...
• Mastering Digitalization - Towards the Data-driven Enterprise
  Mastering the digitalization challenge requires enterprises to radically innovate. Data, information and knowledge become increasingly important assets for realizing innovative digital...
• Tackling the Variety Dimension of Big Data - From Linked to Cognitive Data
  In recent years, we have seen an increasing attention to data. Some initiatives in this regard are open, big or smart data. The availability of large-scale datasets has unleashed an...