Programme

Session Chair: Stefanie Scherzinger

• Alexander Böhm (SAP): LLMs for Enterprise-grade Database 
  Management Systems: From hype to generating customer value
• Matthias Böhm (TU Berlin): LLM-assisted Code Generation, 
  Query Rewriting, and Semantic Operators
• Poster Pitch

• Niven Ratnamaheson (University of Stuttgart):
  Combining Data Products with LLM Agents
• Benjamin Hättasch (DFKI, TU Darmstadt):
  JUSTINE - Demonstrating Self-organizing Data Schemas
• Divyasha Sunil Naik (Friedrich-Schiller-Universität Jena):
  Multi-Perspective Ontology Alignment Using Large Language 
  Models
• Nils Strassenburg (HPI): Poodle - Seamlessly Scaling Down Large
  Language Models with Just-in-Time Model Replacement (poster)
• Philipp Plamper (Hochschule Anhalt University of Applied Sciences):
  Spatio-Temporal Knowledge Graph Construction for Ecological 
  Systems from Heterogeneous Data Using Generative AI
• Burak Toptas & Rainer Groß (Technische Hochschule Nürnberg 
  Georg Simon Ohm): Towards Reliable LLM Metadata Generation - 
  An Evaluation Framework
• Tanja Auge (University of Regensburg):
  Faculty for Informatics and Data Science (poster)
• GI News (poster)

Session Chair: Andreas Henrich

• Maria Fernanda Davila Restrepo (University of Oldenburg): 
  How Accurate Are Large Language Models in Table Synthesis?
• Marvin Hofer (ScaDS.AI Dresden/Leipzig): 
  Design and Evaluation of Knowledge Graph Integration Pipelines
• Maik Fröbe (University of Jena): How Reliable are Information 
  Retrieval  Evaluations with Large Language Model Relevance 
  Assessors? (slides)
• Filip Graliński (Snowflake / Adam Mickiewicz University): 
  LLM judges LLM, but in a principled way 

• General Assembly of the German Informatics Society (GI), 
  Special Interest Group Database Systems
• Election of the steering committee

Session Chair: Holger Schwarz

• Carsten Binnig (TU Darmstadt): Databases Unleashed - 
  Rethinking Relational Databases in the Age of LLMs (slides)
• Ralf Schenkel (University of Trier): Querying Knowledge Bases 
  with Natural Language
• Lisa Ehrlinger (Hasso Plattner Institute): 
  Automated Data Quality Rule Learning with LLMs
• Nils Strassenburg (Hasso Plattner Institute): Poodle - Seamlessly Scaling 
  Down Large Language Models with Just-in-Time Model Replacement (slides)

Chair: Andreas Thor

• Daphne Miedema (University of Amsterdam): Database Education 
  in the Era of GenAI (slides)
• Sylvia Melzer (University of Hamburg; University of Regensburg): 
  Interactive Classroom Model (slides)
• Jens Dittrich (Saarland University): How to get rid of the Relational Model, 
  Relational Algebra, SQL, and ORMs (not only in Database Teaching) (slides)