Selective Provenance for Datalog Programs Using Top-K Queries
Summary: Top-k how-provenance for Datalog via a tree-pattern selection and ranking over derivations. An instrumented, bottom-up evaluation generates only relevant provenance, achieving polynomial data complexity and linear-time top-k construction, with scalable experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Deutch (Tel Aviv University)
- 2. Amir Gilad (Tel Aviv University)
- 3. Yuval Moskovitch (Tel Aviv University)
BibTeX Citation
@article{deutch_vldb15,
title = {{Selective Provenance for Datalog Programs Using Top-K Queries}},
author = {Deutch, Daniel and Gilad, Amir and Moskovitch, Yuval},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1394--1405},
doi = {10.14778/2824032.2824040},
url = {https://doi.org/10.14778/2824032.2824040},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,602 | Provenance for Natural Language Queries | 2017 | VLDB | 6.6107638e-05 |
| 4,845 | Explaining Outputs in Modern Data Analytics | 2016 | VLDB | 6.4818607e-05 |
| 6,664 | On Multiple Semantics for Declarative Database Repairs | 2020 | SIGMOD | 5.8090585e-05 |
| 7,175 | NLProveNAns: Natural Language Provenance for Non-Answers | 2018 | VLDB | 5.6820504e-05 |
| 7,907 | Provenance-Enabled Explainable AI | 2024 | SIGMOD | 5.5181056e-05 |
| 8,509 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD | 5.4120069e-05 |
| 9,763 | NLProv: Natural Language Provenance | 2016 | VLDB | 5.2234888e-05 |
| 10,436 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 5.093636e-05 |
| 11,876 | Datalignment: Ontology Schema Alignment Through Datalog Containment | 2019 | VLDB | 5.093636e-05 |
| 11,938 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,133 | Evaluating Top-k Queries with Inconsistency Degrees | 2020 | VLDB |
| 2 | 9,959 | Datalog with First-Class Facts | 2025 | VLDB |
| 3 | 8,976 | Computing How-Provenance for SPARQL Queries via Query Rewriting | 2021 | VLDB |
| 4 | 806 | Provenance for Aggregate Queries | 2011 | PODS |
| 5 | 8,509 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD |
| 6 | 4,602 | Provenance for Natural Language Queries | 2017 | VLDB |
| 7 | 6,358 | On Provenance Minimization | 2011 | PODS |
| 8 | 1,912 | Querying Data Provenance | 2010 | SIGMOD |
| 9 | 8,100 | The Complexity of Why-Provenance for Datalog Queries | 2024 | PODS |
| 10 | 11,142 | Below and Above Why-Provenance for Datalog Queries | 2024 | PODS |