LEDS Linked Enterprise Data Services
In the last years, Big Data as well as Linked Data technologies gained wide attention. The primary goal of Big Data technologies is the high-performance analysis of large-scale data (volume and velocity), while Linked Data aims at integrating distributed, heterogeneous data (Variety). In this talk, we introduce the concept of knowledge graphs based on the RDF and Linked Data paradigm and discuss some crucial research and technology challenges. We discuss some strategies, how the Big Data and Linked Data paradigms can be synergistically combined for example with Semantic Data Lakes.
Professor and director
Leibniz Information Center for Science & Technology
https://www.tib.eu/en/
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.
