Scalable Join Processing on Very Large RDF Graphs
Summary: Scalable join processing for large RDF graphs; introduces lightweight sideways information passing between joins to prune streams at runtime. Also refines join-order selectivity for large RDF graphs, yielding over an order-of-magnitude speedup on UniProt. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Neumann (Max Planck Institute)
- 2. Gerhard Weikum (Max Planck Institute)
BibTeX Citation
@inproceedings{neumann_sigmod09,
title = {{Scalable Join Processing on Very Large RDF Graphs}},
author = {Neumann, Thomas and Weikum, Gerhard},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559911},
url = {https://dl.acm.org/doi/10.1145/1559845.1559911},
year = {2009}
}
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