The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Extending the database relational model to capture more meaning
Open accessAbstract
During the last three or four years several investigators have been exploring “semantic models” for formatted databases. The intent is to capture (in a more or less formal way) more of the meaning of the data so that database design can become more systematic and the database system itself can behave more intelligently. Two major thrusts are clear. In this paper we propose extensions to the relational model to support certain atomic and molecular semantics. These extensions represent a synthesis of many ideas from the published work in semantic modeling plus the introduction of new rules for insertion, update, and deletion, as well as new algebraic operators.
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
Self-citation
Cited by
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
Raju, K. V. S. V. N., & Majumdar, A. K. (1988) · ACM Transactions on Database Systems · doi:10.1145/42338.42344 · Cited by 406
Relational database: a practical foundation for productivity
Codd, E. F. (1982) · Communications of the ACM · doi:10.1145/358396.358400 · Cited by 351
Self-citationElements 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
The BLUEPRINT Data Analysis Portal
Fernández, J. M., de la Torre, V., Richardson, D., Royo, R., Puiggròs, M., Moncunill, V., Fragkogianni, S., Clarke, L., Flicek, P., Rico, D., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.021 · Cited by 151
Snodgrass, R., & Ahn, I. (1985) · ACM SIGMOD Record · doi:10.1145/971699.318921 · Cited by 75
Metadata
- Authors
- Codd, E. F.
- Venue
- ACM Transactions on Database Systems
- Published
- 1979-12
- Volume
- 4
- Issue
- 4
- Pages
- 397-434
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2122789628
- Cited by
- 1,559
- References
- 1
- FWCI
- 61.01
- 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: Extending the database relational model to capture more meaning. https://app.cochat.ai/papers/10.1145/320107.320109
- The paper
- Codd, E. F. (1979). Extending the database relational model to capture more meaning. ACM Transactions on Database Systems. https://doi.org/10.1145/320107.320109
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.