The DOI matches its Crossref record.
Foundations of databases
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Machine learning for neuroimaging with scikit-learn
Abraham, A., Pedregosa, F., Eickenberg, M., Gervais, P., Mueller, A., Kossaifi, J., Gramfort, A., Thirion, B., & Varoquaux, G. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00014 · Cited by 2,384
Abiteboul, S. (1997) · Lecture Notes in Computer Science · doi:10.1007/3-540-62222-5_33 · Cited by 746
A comparison of security requirements engineering methods
Fabian, B., Gürses, S., Heisel, M., Santen, T., & Schmidt, H. (2010) · Requirements Engineering · doi:10.1007/s00766-009-0092-x · Cited by 239
The Vadalog system: datalog-based reasoning for knowledge graphs
Bellomarini, L., Sallinger, E., & Gottlob, G. (2018) · Proceedings of the VLDB Endowment · doi:10.14778/3213880.3213888 · Cited by 98
SQL’s Three-Valued Logic and Certain Answers
Libkin, L. (2016) · ACM Transactions on Database Systems · doi:10.1145/2877206 · Cited by 83
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1995-09-01
- Volume
- 33
- Issue
- 01
- Pages
- 33-0359-33-0359
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W4206031975
- Cited by
- 1,754
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Foundations of databases. https://app.cochat.ai/papers/10.5860/choice.33-0359
- The paper
- Foundations of databases. (1995). Choice Reviews Online. https://doi.org/10.5860/choice.33-0359
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
