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Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration

Summary: Automatic appraisal and selection of valuable heterogeneous public data sources for integration under quality and cost constraints. Proposes a source-management system that computes rigorous quality metrics and enables automated/interactive discovery to shorten the discover–appraise–evaluate loop. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
263
Venue
CIDR
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,094 | 17.03%
DOI
-

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@inproceedings{rekatsinas_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Rekatsinas, Theodoros and Dong, Xin Luna and Getoor, Lise and Srivastava, Divesh},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,019 SourceSight: Enabling Effective Source Selection 2016 SIGMOD 5.3309706e-05
13,577 StoryPivot: Comparing and Contrasting Story Evolution 2015 SIGMOD -
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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