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Qunits: queried units for database search

Summary: Introduce qunits—independent queried units representing canonical query results, decoupling declarative DB predicate semantics from presentation/aggregation. Keyword search is executed over a corpus of qunits treated as IR documents, enabling standard ranking models instead of ad-hoc DB ranking; prototype validates feasibility. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
124
Venue
CIDR
Year
2009
Pagerank
4.6946145e-05
Overall Rank
7,615 | 47.03%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,961 Generating Preview Tables for Entity Graphs 2016 SIGMOD 5.2549663e-05
6,710 Schema-free SQL 2014 SIGMOD 4.9526147e-05
12,190 Keyword Search on Form Results 2011 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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