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A Meta-Analysis Comparing Relational and Semantic Models

A Meta-Analysis Comparing Relational and Semantic Models

Keng Siau, Fiona F.H. Nah, Qing Cao
Copyright: © 2011 |Volume: 22 |Issue: 4 |Pages: 16
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781613509944|DOI: 10.4018/jdm.2011100103
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MLA

Siau, Keng, et al. "A Meta-Analysis Comparing Relational and Semantic Models." JDM vol.22, no.4 2011: pp.57-72. http://doi.org/10.4018/jdm.2011100103

APA

Siau, K., Nah, F. F., & Cao, Q. (2011). A Meta-Analysis Comparing Relational and Semantic Models. Journal of Database Management (JDM), 22(4), 57-72. http://doi.org/10.4018/jdm.2011100103

Chicago

Siau, Keng, Fiona F.H. Nah, and Qing Cao. "A Meta-Analysis Comparing Relational and Semantic Models," Journal of Database Management (JDM) 22, no.4: 57-72. http://doi.org/10.4018/jdm.2011100103

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Abstract

Data modeling is the sine quo non of systems development and one of the most widely researched topics in the database literature. In the past three decades, semantic data modeling has emerged as an alternative to traditional relational modeling. The majority of the research in data modeling suggests that the use of semantic data models leads to better performance; however, the findings are not conclusive and are sometimes inconsistent. The discrepancies that exist in the data modeling literature and the relatively low statistical power in the studies make meta-analysis a viable choice in analyzing and integrating the findings of these studies.

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