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.
Prof. Dr. Sören Auer is head of the “Enterprise Information Systems” department at Fraunhofer IAIS and professor for Computer Science at the University of Bonn. His research interests include semantic technologies, knowledge representation, engineering & management, as well as information systems. Sören was a founding chair of the European Data Forum and now leads its steering committee. Sören coordinated the FP7 flagship project “LOD2 - Creating Knowledge out of Interlinked Data” till 2014 and is now serving as coordinator of the H2020 CSA BigDataEurope and the H2020 MCSA ITN “WDAqua – Answering Questions using Web Data”. He serves on the board of directors of the Big Data Value Association. Sören’s research group has gained world-wide reputation with projects like DBpedia, SlideWiki, LinkedGeoData and OntoWiki. Technologies developed in his department are in use by notable companies.
Professor and Head of Department