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SPARQL-ML
Funded project (November 2024 - October 2027)
Machine Learning for SPARQL Query Optimization over Centralized and Distributed RDF Knowledge Graphs
About the project
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 program
Eurostars
