Computing How-Provenance for SPARQL Queries via Query Rewriting
Summary: SPARQLprov computes how-provenance polynomials for monotonic and non-monotonic SPARQL queries via query rewriting and spm-semirings. It is system-agnostic, requiring no engine extensions, yet achieves competitive overhead on standard SPARQL engines. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Hernández (Aalborg University)
- 2. Luis Galárraga (INRIA)
- 3. Katja Hose (Aalborg University)
BibTeX Citation
@article{hernandez_vldb21,
title = {{Computing How-Provenance for SPARQL Queries via Query Rewriting}},
author = {Hernández, Daniel and Galárraga, Luis and Hose, Katja},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {13},
pages = {3389--3401},
doi = {10.14778/3484224.3484235},
url = {https://doi.org/10.14778/3484224.3484235},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,701 | Unified Lineage System: Tracking Data Provenance at Scale | 2025 | SIGMOD | 5.093636e-05 |
| 11,109 | FaDE: More Than a Million What-ifs Per Second | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059843817 |
| 806 | Provenance for Aggregate Queries | 2011 | PODS | 0.00013890398 |
| 1,965 | ProvSQL: Provenance and Probability Management in PostgreSQL | 2018 | VLDB | 9.3852716e-05 |
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