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DBMSs Should Talk Back Too

Summary: Proposes bidirectional DBMS natural-language interfaces that translate internal artifacts (SQL queries, stored records) back into expressive, unambiguous text for user verification and validation. Argues reverse translation is deceptively hard—needs research on fidelity, concision, disambiguation and usability, and outlines concrete problems and applications for query- and data-to-text mapping. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
112
Venue
CIDR
Year
2009
Pagerank
5.0930594e-05
Overall Rank
6,371 | 55.68%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,673 λόγος: A System for Translating Queries into Narratives 2012 SIGMOD 0.00010948717
5,452 QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster 2020 SIGMOD 5.4999397e-05
6,007 Data Vocalization with CiceroDB 2019 CIDR 5.2415551e-05
8,111 Databases will Visualize Queries too* 2011 VLDB 4.5842786e-05
12,024 Mirror mirror on the wall, which query's fairest of them all? 2013 CIDR 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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

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