ScaDS.AI Dresden/Leipzig announces and welcomes you to join its public colloquium session on Tuesday, August 27, 2024 at 10 a.m. CET. The colloquium takes place at Raatssaal at Andreas-Pfitzmann-Bau in Dresden (details below).

Prof. Dr. Simon Razniewski, Chair of Knowledge-Aware Artificial Intelligence (Dresden, Germany), invites

A Hitchhiker’s Guide to Ontology

Language Models have brought major breakthroughs in natural language processing. Notwithstanding this success, Prof. Dr. Fabian M. Suchanek will show that certain applications still need symbolic representations. He will then show how different methods (language models and others) can be harnessed to build such symbolic representations. Furthermore, he will also introduce his team’s main project in this direction, the YAGO knowledge base. Then, he will talk about the incompleteness of knowledge bases. They have developed several techniques to estimate how much data is missing in a knowledge base, as well as rule mining methods to derive that data. Prof. Dr. Fabian M. Suchanek will then present their work on efficient querying of knowledge bases. Finally, he will talk about applications of knowledge bases in the domain of speech analysis and the digital humanities, as well as about their methods for explainable AI.

About Prof. Dr. Fabian M. Suchanek

Prof. Dr. Fabian M. Suchanek is a full professor at the engineering school Telecom Paris in France. He obtained his doctorate at the Max-Planck Institute for Computer Science in Germany. In his thesis, Prof. Dr. Fabian M. Suchanek notably developed the YAGO knowledge base, one of the largest public knowledge bases, which earned him an honorable mention of the SIGMOD thesis prize, as well as, 10 years later, the “Test of Time” from the WWW 2018 conference. He was a postdoctoral fellow at Microsoft Research in Silicon Valley and at INRIA Saclay. Then he led a research group at the Max-Planck Institute for Computer Science.

Since 2013, he has been an associate professor at Télécom Paris in France, and since 2016 a full professor. Prof. Dr. Fabian M. Suchanek teaches courses on natural language processing, information extraction, and knowledge representation. With his students, he works on information extraction, rule mining, ontology matching and other topics related to large knowledge bases. He has published over 100 scientific papers, and his work has been cited over 17,000 times.

Location

TUD Dresden University of Technology,
Andreas-Pfitzmann-Bau (APB)
Room: 1004, Ratssaal
Nöthnitzer Str. 46
01187 Dresden