Cognitive Data – How Open, Smart and Big Data Impact our World
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 enormous potential of making computers smarter and gave rise to cognitive computing. In this talk we reflect on this development and give an overview on recent approaches in the areas of Big Data software architectures, data spaces and knowledge graphs, which all help to realize the emerging concept of hybrid AI, where large-scale, rich semantic data and knowledge tightly interacts with machine learning and analytics.
Prof. Sören Auer studied Mathematics and Computer Science in Dresden, Hagen and Yekaterinburg (Russia). He received his PhD in 2006 from University of Leipzig. After stations as postdoc and professor at the universities of Leipzig, Pennsylvania, Chemnitz, Bonn and leading a Fraunhofer department, in 2017 Sören was appointed as professor for Data Science and Digital Libraries at Leibniz University of Hannover and director of TIB German National Library of Science and Technology. Sören has made contributions to semantic web technologies, knowledge engineering as well as databases and information systems. Sören is author (resp. co-author) of over 150 peer-reviewed scientific publications. He received several awards, such as the ESWC 7-year best paper award or the OpenCourseware Innovation award. He led / is leading several large-scale collaborative research projects such as the European Union’s flagship projects LOD2 and BigDataEurope. Sören is co-founder of research and community projects such as the Wikipedia semantification project DBpedia, the OpenCourseWare authoring platform SlideWiki.org or OpenResearch.org. The technology Sören develops with his team fuels many industrial applications. He serves as an expert for industry, the European Commission, the W3C and board member of the Open Knowledge Foundation.