Building the digital twin of long lifed complex equipments which are in
use at a remote customer site is a challenging task. We report on a
project at Siemens Corporate Technology which addresses this problem for
industrial turbines using a knowledge graph.
Dr. rer. nat.
Siemens
http://www.siemens.com/
Thomas Hubauer is a Portfolio Manager for Knowledge Graph and Semantics at Siemens Corporate Technology. After completing a PhD in the area of applied logics at Universität zu Lübeck, he joined Siemens as a Research Scientist, working mainly on semantics and machine learning topics.
Senior Research Engineer
derivo GmbH
http://www.derivo.de/en/home/
Vincent Vialard is Senior Research Engineer at derivo GmbH. He worked on automated theorem proving at the Université Aix-Marseille II and formal compiler verification at the Universität Ulm before going freelance for 10 years. He joined derivo 6 years ago to lead the development of the company's OWL2-RL inference engine GraphScale and graph visualization tool SemSpect.
Smart Textiles are clothes with an extended range of functions, e.g., interaction with the environment. They open up new markets and business models in sports, health, home and living, mobility or building applications, especially in combination with digital networked services. However, small and medium enterprises (SMEs) in the electronics and textile industries hesitate to accept the complexity of the combined value chains.
M.Sc.
RWTH Aachen University
https://www.rwth-aachen.de/
Inga Gehrke (M.Sc.) is a PhD candidate at the Institute for Textile Technology of the RWTH Aachen University. Her research covers the development and production process of smart textiles as well as the digital transformation of production systems.
eccenca GmbH
https://www.eccenca.com
Magnus Knuth is Senior Linked Data Consultant at eccenca GmbH. After graduating with a Diploma in Computer Science at Leipzig University, he spent a few years as a Research Fellow at IMISE Leipzig, in the Semantic Multimedia research group at Hasso Plattner Institute in Potsdam and with the DBpedia association. Magnus' interests lie in data modelling, data quality, and change management.
We describe a real world Intelligent Customer Support Organization that uses graph based technology for taxonomy driven entity extraction, speech recognition, machine learning and predictive analytics to improve quality of conversations, increase sales and improve business visibility.
CEO, Franz Inc. and Ph.D
Dr. Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects.
