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A Model for Fine-Grained Data Citation

Summary: Model to automatically generate fine-grained citations for arbitrary relational queries via citation views that attach citations to views and are composed to cover query results. Leverages query-rewriting and provenance to construct citations and outlines practical challenges. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
294
Venue
CIDR
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,760 | 18.19%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,921 ProvCite: Provenance-based Data Citation 2019 VLDB 4.2549509e-05
11,723 Data Citation: Giving Credit Where Credit is Due 2018 SIGMOD 4.1945683e-05
11,767 Data Citation: a Computational Challenge 2017 PODS 4.1945683e-05
13,334 Automating Data Citation in CiteDB 2017 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 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
48 Data Integration: A Theoretical Perspective 2002 PODS 0.00069720859
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