Computing How-Provenance for SPARQL Queries via Query Rewriting
Summary: SPARQLprov rewrites SPARQL to compute how-provenance polynomials for graphs. System-agnostic; uses spm-semirings to ensure provenance commutes with homomorphisms for monotonic and non-monotonic SPARQL; experiments show acceptable overhead and competitiveness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Hernández
- 2. Luis Galárraga
- 3. Katja Hose
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,419 | Unified Lineage System: Tracking Data Provenance at Scale | 2025 | SIGMOD | 4.1945683e-05 |
| 10,886 | FaDE: More Than a Million What-ifs Per Second | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 1,106 | Provenance for Aggregate Queries | 2011 | PODS | 0.0001398766 |
| 2,256 | ProvSQL: Provenance and Probability Management in PostgreSQL | 2018 | VLDB | 9.1879032e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,729 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB | 4.4582221e-05 |
| 652 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00018634477 |
| 11,735 | QuestPro: Queries in SPARQL Through Provenance | 2018 | VLDB | 4.1945683e-05 |
| 4,851 | Provenance for Natural Language Queries | 2017 | VLDB | 5.8768322e-05 |
| 6,662 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 4.9704872e-05 |
| 11,592 | SPARQL Rewriting: Towards Desired Results | 2020 | SIGMOD | 4.1945683e-05 |
| 9,179 | Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries | 2020 | SIGMOD | 4.3820222e-05 |
| 6,186 | On Provenance Minimization | 2011 | PODS | 5.166082e-05 |
| 1,106 | Provenance for Aggregate Queries | 2011 | PODS | 0.0001398766 |
| 2,173 | Querying Data Provenance | 2010 | SIGMOD | 9.3676609e-05 |