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Cited by 557

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Semantic data models

Peckham, Joan, Maryanski, Fred·1988·ACM Computing Surveys

Abstract

Semantic data models have emerged from a requirement for more expressive conceptual data models. Current generation data models lack direct support for relationships, data abstraction, inheritance, constraints, unstructured objects, and the dynamic properties of an application. Although the need for data models with richer semantics is widely recognized, no single approach has won general acceptance. This paper describes the generic properties of semantic data models and presents a representative selection of models that have been proposed since the mid-1970s. In addition to explaining the features of the individual models, guidelines are offered for the comparison of models. The paper concludes with a discussion of future directions in the area of conceptual data modeling.

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Metadata

Authors
Peckham, J., & Maryanski, F.
Venue
ACM Computing Surveys
Published
1988-09
Volume
20
Issue
3
Pages
153-189
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
OpenAlex
W2028544887
Cited by
557
References
2
FWCI
39.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Semantic data models. https://app.cochat.ai/papers/10.1145/62061.62062
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Peckham, J., & Maryanski, F. (1988). Semantic data models. ACM Computing Surveys. https://doi.org/10.1145/62061.62062

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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.