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Article
A Meta-Analysis on Relationship Modeling Accuracy: Comparing Relational and Semantic Models
AMCIS 2000 Proceedings
  • Qing Cao, University of Nebraska at Lincoln
  • Fiona Nah, University of Nebraska at Lincoln
  • Keng Siau, University of Nebraska at Lincoln
Publication Date
1-1-2000
Abstract

Semantic data modeling, such as entity-relationship (ER) modeling and extended/enhanced entity-relationship (EER) modeling, has emerged as an alternative to relational data modeling. The majority of research in data modeling suggests that the use of semantic data models leads to better performance. However the findings are not conclusive and sometimes inconsistent. In this research, we investigate modeling relationship correctness in relational and semantic models. The meta-analysis carried out in this research is an attempt to alleviate inconsistent results in previous studies.

Citation Information
Qing Cao, Fiona Nah and Keng Siau. "A Meta-Analysis on Relationship Modeling Accuracy: Comparing Relational and Semantic Models" (2000)
Available at: http://works.bepress.com/nahf/37/