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 Research, Technology and Space (BMFTR).
Latest News¤
2026-05-10 Second International TEXT2SPARQL Challenge
After the initial success, eccenca, together with AKSW, is organizing the second edition of this workshop to explore the emerging intersection of LLMs and knowledge graph generation, focusing on innovative approaches, best practices, and challenges.
2025-09-25 - 2nd Plenary Meeting scheduled
Our 2nd Plenary Meeting will take place on 2025-11-27 in London at our partner Openlink.
2025-06-01 - LLM-TEXT2KG-Workshop - ESWC 2025 - Slovenia
eccenca organized this workshop which aims to explore the novel intersection of LLMs and KG generation, focusing on innovative approaches, best practices, and challenges.
2025-05-25 - 1st Plenary Meeting - Paderborn
During our first plenary meeting we presented the first project outputs, reviewed query plans, and agreed that the next step will be testing in a customer environment to collect query runtimes.
2024-11-13 - Kick-off Meeting
Today, we met in Leipzig to practically kick-off our project.
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.