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)

Paper ID: hac21922a648014b1
Venue: VLDB
Year: 2015
Pagerank: 5.7027474e-05
Overall Rank: 6,708 | 54.90%
DOI: 10.14778/2824032.2824040

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
4,687	Provenance for Natural Language Queries	2017	VLDB	6.4706848e-05
4,940	Explaining Outputs in Modern Data Analytics	2016	VLDB	6.345789e-05
6,728	On Multiple Semantics for Declarative Database Repairs	2020	SIGMOD	5.6946342e-05
7,234	Hypothetical Reasoning via Provenance Abstraction	2019	SIGMOD	5.5792063e-05
7,317	NLProveNAns: Natural Language Provenance for Non-Answers	2018	VLDB	5.554755e-05
8,076	Provenance-Enabled Explainable AI	2024	SIGMOD	5.3942942e-05
9,940	NLProv: Natural Language Provenance	2016	VLDB	5.1062975e-05
10,625	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	4.9793485e-05
12,176	Datalignment: Ontology Schema Alignment Through Datalog Containment	2019	VLDB	4.9793485e-05
12,237	Provenance Summaries for Answers and Non-Answers	2018	VLDB	4.9793485e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
17	Provenance Semirings	2007	PODS	0.00059752575
670	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00014954494
943	Provenance and Scientific Workflows: Challenges and Opportunities	2008	SIGMOD	0.00012945546
1,000	Declarative Networking: Language, Execution and Optimization	2006	SIGMOD	0.00012607089
1,051	Tiresias: The Database Oracle for How-To Queries	2012	SIGMOD	0.00012279821
1,610	Efficient Provenance Storage	2008	SIGMOD	0.00010076616
1,827	Querying Data Provenance	2010	SIGMOD	9.5545888e-05
2,949	Reverse Data Management	2011	VLDB	7.821181e-05
3,132	Matching Twigs in Probabilistic XML	2007	VLDB	7.6137556e-05
3,663	On Probabilistic Fixpoint and Markov Chain Query Languages	2010	PODS	7.1188602e-05
4,176	Aggregation in Probabilistic Databases via Knowledge Compilation	2012	VLDB	6.7573044e-05
4,765	Probabilistic Databases with MarkoViews	2012	VLDB	6.4275411e-05
6,714	TRAMP: Understanding the Behavior of Schema Mappings through Provenance	2010	VLDB	5.7000511e-05
8,193	Labeling Recursive Workflow Executions On-the-Fly	2011	SIGMOD	5.3803708e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,149	Datalog with First-Class Facts	2025	VLDB
2	8,330	Computing How-Provenance for SPARQL Queries via Query Rewriting	2021	VLDB
3	819	Provenance for Aggregate Queries	2011	PODS
4	7,234	Hypothetical Reasoning via Provenance Abstraction	2019	SIGMOD
5	10,879	Computing Why-Provenance for Property Graph Queries	2026	VLDB
6	4,687	Provenance for Natural Language Queries	2017	VLDB
7	6,457	On Provenance Minimization	2011	PODS
8	1,827	Querying Data Provenance	2010	SIGMOD
9	8,275	The Complexity of Why-Provenance for Datalog Queries	2024	PODS
10	11,490	Below and Above Why-Provenance for Datalog Queries	2024	PODS