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Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity

Summary: SQUID extends QBE to semantic similarity, solving intent via abductive reasoning over open-world data to auto-create SPJ queries. Precomputed semantic properties in abduction-ready DBs enable inference, yielding accurate intents and outperforming baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12010
Venue
VLDB
Year
2019
Pagerank
7.2076465e-05
Overall Rank
3,677 | 74.78%
DOI
10.14778/3342263.3342266

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fariha_vldb19,
        title = {{Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity}},
        author = {Fariha, Anna and Meliou, Alexandra},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {11},
        pages = {1262--1275},
        doi = {10.14778/3342263.3342266},
        url = {https://doi.org/10.14778/3342263.3342266},
        year = {2019}
}

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