Constructing Queries from Tokens

Summary: Token-based query construction: a set of data/metadata tokens is completed into a query. Inferred queries are shown to users, aiding non-expert expression of requests; demonstrated on relational DBs with generalizable principles. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2360
Venue: SIGMOD
Year: 1986
Pagerank: 6.1088523e-05
Overall Rank: 5,723 | 60.74%
DOI: 10.1145/16894.16866

Incoming Non-self Citations Over Time

Authors

1. Amihai Motro (University of Southern California)

BibTeX Citation

@inproceedings{motro_sigmod86,
        title = {{Constructing Queries from Tokens}},
        author = {Motro, Amihai},
        series = {{SIGMOD} '86},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/16894.16866},
        url = {https://dl.acm.org/doi/10.1145/16894.16866},
        year = {1986}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,339	A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems	2021	SIGMOD	7.5047676e-05
8,300	Dynamic Derivation of Personalized Views	1988	VLDB	5.4574671e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1,929	A Generalized Access Path Model And Its Application To A Relational Data Base System	1976	SIGMOD	9.4676007e-05

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