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Traditional, Semantic, and Hypersemantic Approaches to Data Modeling
June 1988 (vol. 21 no. 6)
pp. 53-63
ASCII Text
x 
 
Walter D. Potter, Robert P. Trueblood, "Traditional, Semantic, and Hypersemantic Approaches to Data Modeling," Computer, vol. 21, no. 6, pp. 53-63, June, 1988.
 
 
BibTex
x
 
@article{ 10.1109/2.950,
author = {Walter D. Potter and Robert P. Trueblood},
title = {Traditional, Semantic, and Hypersemantic Approaches to Data Modeling},
journal ={Computer},
volume = {21},
number = {6},
issn = {0018-9162},
year = {1988},
pages = {53-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/2.950},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Traditional, Semantic, and Hypersemantic Approaches to Data Modeling
IS - 6
SN - 0018-9162
SP53
EP63
EPD - 53-63
A1 - Walter D. Potter,
A1 - Robert P. Trueblood,
PY - 1988
VL - 21
JA - Computer
ER -
 

An overview is given of past present data-modeling trends, and future directions are identified. The three traditional and commonly used data models that gained wide acceptance in the late 1960s and early 1970s and are used extensively today, namely the relational, hierarchical, and network models, are reviewed. Semantic data models that attempt to enhance the representation of operational information by capturing more of the meaning about data values and relationships are described. Enhancements to semantic data models that characterize hypersemantic data models and emphasize capturing inferential relationships are discussed.

Citation:
Walter D. Potter, Robert P. Trueblood, "Traditional, Semantic, and Hypersemantic Approaches to Data Modeling," Computer, vol. 21, no. 6, pp. 53-63, June 1988, doi:10.1109/2.950
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