GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG)
At a glance
- Project leader : Prof. Dr. Kurt Stockinger
- Deputy of project leader : Prof. Dr. Michael Grossniklaus
- Project team : Dr. Pavel Sulimov, Prof. Dr. Ce Zhang
- Project budget : EUR 539'000
- Project status : ongoing
- Funding partner : SNSF (SNF-Projektförderung / Projekt Nr. 192105), EU and other international programmes (Deutsche Forschungsgemeinschaft DFG / Projekt Nr. 441617860)
- Project partner : Universität Konstanz
- Contact person : Kurt Stockinger
Description
Optimizing the brain of databases with machine learning: Query optimization is one of the hardest problems of database systems research. A query optimizer can be considered as the “brain” of the system that makes sure that queries are executed efficiently. Even after several decades of research, many sub-problems of query optimization are still unsolved. The goal of this project is to use machine learning to improve the “brain” of relational database systems as well as graph database systems.