Terminology as the basis for content quality and knowledge management is mainly for humans. But digital transformation, artificial intelligence, internet of things, digital twins, semantic AI: They all require terminology in a digital way, which can be understood by machines. To that end, we discuss how we can bring together human grade knowledge in terminologies and taxonomies, ontologies or knowledge graphs.
In our presentation, we show how you can enable terminology to bridge the gap between the “human grade” data contained in terminology and the structured approach required by “machines”.
Knowledge of terminology
Klaus Fleischmann studied conference interpreting in Vienna and Monterey, USA, and technical communication in Krems. In 1996, he founded and has since managed Kaleidoscope GmbH as a system and consulting house for Global Content. Since 2007, he has been CEO of eurocom Translation Services GmbH.
Originally trained as Recording Producer with a diploma degree from Berlin University of the Arts (UdK), Sebastian pursues a career in archive- and information management for over 15 years after having spent 5 years in music production for radio, TV and recording industry. In 2017, he has joined Semantic Web Company, Vienna and was appointed Chief Customer Officer in 2020. In this position, he is helping customers from all industries to build smart applications using semantic AI. Sebastian has held engineering, sales, and project management positions in various companies, including an 11-year stretch in audiovisual archiving and has recently graduated as Masters of Sciences in Library and Information Science.