RDFFrames: Knowledge Graph Access for Machine Learning Tools

Summary: RDFFrames provides a Python-centric, traversal-based data extraction bridge from RDF stores to ML workflows, translating imperative calls into compact SPARQL queries. It delivers tabular results with DB performance, addressing the mismatch between ML tooling and SPARQL's graph-pattern interface. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12155
Venue: VLDB
Year: 2020
Pagerank: 4.1945683e-05
Overall Rank: 11,612 | 19.22%
DOI: 10.14778/3415478.3415501

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
106	Extensible/Rule Based Query Rewrite Optimization in Starburst	1992	SIGMOD	0.00048400734

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