Abstract

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.

Short Bio

After stations at the universities of Leipzig, Pennsylvania, Bonn and Fraunhofer Society, Sören was appointed as professor for Data Science and Digital Libraries at Leibniz University of Hannover and director of TIB Leibniz Information Centre for Science and Technology. Sören has made contributions to semantic technologies, knowledge engineering, software engineering, as well as information systems. Sören is author (respectively co-author) of over 100 peer-reviewed scientific publications. He received several awards, such as the ESWC 7-year best paper award or the OpenCourseware Innovation award. He led several large-scale collaborative research projects such as the European Union’s H2020 flagship project BigDataEurope. Sören is co-founder of high-impact research, innovation and community projects such as the Wikipedia semantification project DBpedia, the OpenCourseWare authoring platform SlideWiki.org, the Industrial Data Space as well as the innovative technology start-up company eccenca.com.