Database Research needs an Abstract Relational Query Language
Summary: Argues for ARQL—a semantics‑first metalanguage that separates a relational core (intent) from modalities and conventions to expose and compare relational patterns for human and LLM workflows. Presents ARC (a TRC generalization) with textual, machine‑friendly ALT, and higraph modalities as a Rosetta Stone and intermediate for NL2SQL and automated query validation. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Wolfgang Gatterbauer (Northeastern University)
- 2. Diandre Miguel B. Sabale (Northeastern University)
BibTeX Citation
@inproceedings{gatterbauer_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{Database Research needs an Abstract Relational Query Language}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Gatterbauer, Wolfgang and Sabale, Diandre Miguel B.},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,611 | A Principled Solution to the Disjunction Problem of Diagrammatic Query Representations | 2026 | SIGMOD | 4.9793485e-05 |
| 11,033 | An Extended Tutorial and Vocabulary for Relational Language Design in an Era of AI-Assisted Query Generation | 2026 | VLDB | 4.9793485e-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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