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Author Kim, Young-Gul ♦ March, Salvatore T.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
Language English
Abstract Accurate specification and validation of information requirements is critical to the development of organizational information systems. Semantic data models were developed to provide a precise and unambiguous representation of organizational information requirements [9, 17]. They serve as a communication vehicle between analysts and users. After analyzing 11 semantic data models, Biller and Neuhold [3] conclude that there are essentially only two types of data modeling formalisms: entity-attribute-relationship (EAR) models and object-relationship (OR) models. Proponents of each claim their model yields “better” representations [7] than the other. There is, however, little empirical evidence to substantiate these claims.
Description Affiliation: Information and Decision Science Department. C.L. Carlson School of Management, University of Minnesota, 271 19th Ave. S., Minneapolis, MN (March, Salvatore T.) || Department of MIS, KAist, P.O. Box 201, Cheong-Ryang, Seoul, 130-650, Korea (Kim, Young-Gul)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 38
Issue Number 6
Page Count 13
Starting Page 103
Ending Page 115

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Source: ACM Digital Library