The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Synthesizing third normal form relations from functional dependencies
Open accessAbstract
It has been proposed that the description of a relational database can be formulated as a set of functional relationships among database attributes. These functional relationships can then be used to synthesize algorithmically a relational scheme. It is the purpose of this paper to present an effective procedure for performing such a synthesis. The schema that results from this procedure is proved to be in Codd's third normal form and to contain the fewest possible number of relations. Problems with earlier attempts to construct such a procedure are also discussed.
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
Cites
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
Cited by
A comparative analysis of methodologies for database schema integration
Batini, C., Lenzerini, M., & Navathe, S. B. (1986) · ACM Computing Surveys · doi:10.1145/27633.27634 · Cited by 1,740
A simplied universal relation assumption and its properties
Fagin, R., Mendelzon, A. O., & Ullman, J. D. (1982) · ACM Transactions on Database Systems · doi:10.1145/319732.319735 · Cited by 296
Elements of Relational Database Theory
KANELLAKIS, P. C. (1990) · Formal Models and Semantics · doi:10.1016/b978-0-444-88074-1.50022-6 · Cited by 259
Reverse engineering of relational databases: Extraction of an EER model from a relational database
Chiang, R. H. L., Barron, T. M., & Storey, V. C. (1994) · Data & Knowledge Engineering · doi:10.1016/0169-023x(94)90011-6 · Cited by 254
Metadata
- Authors
- Bernstein, P. A.
- Venue
- ACM Transactions on Database Systems
- Published
- 1976-12
- Volume
- 1
- Issue
- 4
- Pages
- 277-298
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2023663289
- Cited by
- 448
- References
- 1
- FWCI
- 23.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Synthesizing third normal form relations from functional dependencies. https://app.cochat.ai/papers/10.1145/320493.320489
- The paper
- Bernstein, P. A. (1976). Synthesizing third normal form relations from functional dependencies. ACM Transactions on Database Systems. https://doi.org/10.1145/320493.320489
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.
