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
PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs
Findings of ACL, 2025
Details
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
IROS, 2025
Details
Introducing GPTKB to the Semantic Web
ISWC, 2025
Details
L3X: Long Object List Extraction from Long Documents
CIKM, 2025
Details
Enabling LLM Knowledge Analysis via Extensive Materialization
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Details
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP, November 2024
Details Download
Completeness and soundness guarantees for conjunctive SPARQL queries over RDF data sources with completeness statements
Semantic Web, 11(3):441-482, 2020
Details Download
