A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models

A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models

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....

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Bibliographic Details
Main Authors: CAO, Qing, NAH, Fiona Fui-hoon, SIAU, Keng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2000
Subjects:
Semantic data modeling
Entity-relationship (ER) modeling
Extended entity-relationship (EER) modeling
Relational data modeling
Data modeling performance
Relationship correctness
Meta-analysis
Semantic models
Modeling techniques
Database modeling
Research inconsistencies
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/9642
https://ink.library.smu.edu.sg/context/sis_research/article/10642/viewcontent/A_Meta_Analysis_on_Relationship_Modeling_Accuracy__Comparing_Relational_and_Semantic_Models.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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