Simon Razniewski
Prof. Dr. Simon Razniewski
Professor Knowledge-aware Artificial Intelligence
Simon Razniewski is professor for knowledge-based AI at ScaDS.AI and TU Dresden, where he develops novel methods for extracting and consolidating knowledge from and with language models and knowledge bases. He was previously a research scientist at the Bosch Center for AI (2023-2024), senior researcher at the Max Planck Institute for Informatics (2017-2021), where he was heading the Knowledge Base Construction and Quality area, and assistant professor at the Free University of Bozen Bolzano¹ (2014-2017). He holds a PhD from the Free University of Bozen-Bolzano (2014), and a Diplom (MSc.) from TU Dresden (2010; not this Dresden). He spent time as visitor at the Max-Planck Institute for Informatics (2016), the University of Queensland (2015), AT&T Labs-Research (2013), the University of California, San Diego (2012), and has previous industrial experience from Globalfoundries (2010) and Siemens IT (2009). He has published >20 papers at premier² conferences in the area of data science and management (and more than 60 papers in total).
Newest Publications
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP, November 2024
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Completeness and soundness guarantees for conjunctive SPARQL queries over RDF data sources with completeness statements
Semantic Web, 11(3):441-482, 2020
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