SPARQL-ML - Machine Learning for SPARQL Query Optimization over Centralized and Distributed RDF Knowledge Graphs

The SPARQL-ML project develops AI and machine-learning-based generic approaches for optimized query processing over large RDF Knowledge Graphs to facilitate the development of high-performance centralized and distributed data storage solutions. The final output will be a set of W3C-standard-conformant tools that implement Optimized SPARQL query execution on top of centralized and federated RDF Knowledge Graphs.

Funding

This project receives funding from of the Eureka Eurostars programme (Project ID: 5736), which is part of the European Partnership on Innovative SMEs, in cooperation with the German Federal Ministry of Education and Research (BMBF).

Latest News

2024-10-21 - Funding approved

We are happy to announce that the first partners got the funding approval. We are starting to organize our kick-off meeting now.

2024-08-26 - Website online 🚀

Our new domain sparql-ml.eu is registered and a first page is online.