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IDLOG: Extending the Expressive Power of Deductive Database Languages

Summary: IDLOG uses tuple identifications to realize linear orders, enabling aggregation beyond DATALOG. Non-deterministic; deterministic subset is complete for computable queries, with undecidable membership but a test; extended queries allow infinite-domain constants and aggregation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2532
Venue
SIGMOD
Year
1990
Pagerank
5.5228272e-05
Overall Rank
7,885 | 45.91%
DOI
10.1145/93597.93621

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sheng_sigmod90,
        title = {{IDLOG: Extending the Expressive Power of Deductive Database Languages}},
        author = {Sheng, Yeh-Heng},
        series = {{SIGMOD} '90},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/93597.93621},
        url = {https://dl.acm.org/doi/10.1145/93597.93621},
        year = {1990}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
971 ILOG: Declarative Creation and Manipulation of Object Identifiers 1990 VLDB 0.00012875736
13,105 A Non-deterministic Deductive Database Language 1991 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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