Thomas Hoppe

Project Manager and Senior Researcher at Fraunhofer FOKUS

Thomas Hoppe Foto © Marc Frommer / Fraunhofer FOKUS

Thomas Hoppe

Project Manager and Senior Researcher at Fraunhofer FOKUS

After a short intermezzo in the automotive industry and his doctoral thesis in logic programming, Thomas started his research on search engines in several divisions of Deutsche Telekom. He founded a startup on semantic search technology with three partners as CEO, worked in a small company and he was also a freelancing data scientist.
In 2018 he joined Fraunhofer FOKUS as researcher in the data analytics group, and led several projects about information and knowledge extraction, semantic search and modelling supply chains as knowledge graph.
In the GenAI4Media-Projekt he investigates approaches for confabulation detection of LLMs, knowledge graph extraction from news, knowledge injection into the attention mechanism of LLMs. Recently he identified a new approach for the similarity preserving layout of knowledge graphs.
Between 2015 and 2026 he was lecturer and appointed as guest professor at the HTW-Berlin (university of applied science) for databases, information systems and data science. He is editor and author of several articles and books about applied AI and Semantic Search, and leading co-organizer of the annual workshop series “Applied Machine Intelligence”.

Session Details

Talks | Horizon StageGenerative AI Assistants for the Media, Cultural and Creative Sectors - The Project GenKI4Media and its Use Cases16:30 - 17:50 Horizon StageGenKI4Media is developing three different generative AI assistants to support companies from the media, cultural and creative sector. This session presents a live and hands-on presentation of the current developments that are of interest for the industry beyond the specific use cases in the project. Session in German.

Workshop | SEP 30 | Conference CenterBringing Scattered Information Together in One Place — How Knowledge Graphs Can Support Media Production14:30 - 16:00 Conference CenterKnowledge graphs are a technology for the semantic integration of distributed, fragmented information at various levels, offering new possibilities for future media production. In this workshop, we aim to explore these possibilities.