|Author||Kim, Young-Gul ♦ March, Salvatore T.|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|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  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  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|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
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