The most common format to store and provide technical documentation is PDF. However, due to the un- structured nature of the format these documents are often excluded from a granular semantic access. While more and more companies are implementing XML-based component content management systems which can deliver annotated structured content, older legacy documents remain in their monolithic form.
German Research Center for Artificial Intelligence
https://2018.semantics.cc/
Jan Oevermann is a PhD candidate at University of Bremen and Karlsruhe University of Applied Sciences. His research focuses on the improvement of semantic access to technical documentation. He works as team leader at ICMS GmbH and is a visiting researcher at the German Research Center for Artificial Intelligence (DFKI).
In this presentation, we will show how a legacy relational database, used for a successful business application is efficiently replaced by a new and sustainable model, using semantic web technologies and model driven database engineering.
Chief Content Architect
Wolters Kluwer Deutschland
http://www.wolterskluwer.de
Christian is Chief Content Architect at Wolters Kluwer Germany and part of the Innovation and UX Team. He is responsible for Innovation Projects around semantics and AI. He was part of H2020 Projects LOD2 and ALIGNED. Before joining Wolters Kluwer back in 2001 he worked for several Software companies. He is an Information scientist and based in Munich, Germany.
