DBScholar

Back to papers

RBench: Application-Specific RDF Benchmarking

Summary: RBench is an RDF benchmark framework that uses a real application's dataset as a template to synthesize graphs with similar structure and literals at configurable size and degree scales. It analyzes template features to reconstruct the benchmark graph and provides a flexible query-load generator; experiments show efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5090
Venue
SIGMOD
Year
2015
Pagerank
5.4081423e-05
Overall Rank
8,582 | 41.13%
DOI
10.1145/2723372.2746479

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{qiao_sigmod15,
        title = {{RBench: Application-Specific RDF Benchmarking}},
        author = {Qiao, Shi and Özsoyoğlu, Z. Meral},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2746479},
        url = {https://dl.acm.org/doi/10.1145/2723372.2746479},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers