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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
264
Venue
CIDR
Year
2015
Pagerank
4.1945683e-05
Overall Rank
11,895 | 17.25%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,849 SourceSight: Enabling Effective Source Selection 2016 SIGMOD 4.4369118e-05
13,376 StoryPivot: Comparing and Contrasting Story Evolution 2015 SIGMOD -
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