Database Paper Browser

Back to papers

SQuID: Semantic Similarity-Aware Query Intent Discovery

Summary: SQuID discovers user intent from a few example tuples via semantic similarity and data-driven associations beyond surface structure. An interactive demo shows the semantic context and lets users refine results through feedback, no schema or SQL required. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5509
Venue
SIGMOD
Year
2018
Pagerank
4.3714077e-05
Overall Rank
9,216 | 35.89%
DOI
10.1145/3183713.3193548

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,661 Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity 2019 VLDB 6.8689912e-05
6,475 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.0497183e-05
9,929 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 4.2510122e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers