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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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

id	sg-smu-ink.sis_research-10642
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spelling	sg-smu-ink.sis_research-106422024-12-02T01:44:54Z A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models CAO, Qing NAH, Fiona Fui-hoon SIAU, Keng 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. 2000-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9642 info:doi/aisel.aisnet.org/amcis2000/14 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 http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University 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
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	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
spellingShingle	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 CAO, Qing NAH, Fiona Fui-hoon SIAU, Keng A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
description	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.
format	text
author	CAO, Qing NAH, Fiona Fui-hoon SIAU, Keng
author_facet	CAO, Qing NAH, Fiona Fui-hoon SIAU, Keng
author_sort	CAO, Qing
title	A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
title_short	A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
title_full	A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
title_fullStr	A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
title_full_unstemmed	A meta-analysis on relationship modeling accuracy: Comparing relational and semantic models
title_sort	meta-analysis on relationship modeling accuracy: comparing relational and semantic models
publisher	Institutional Knowledge at Singapore Management University
publishDate	2000
url	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
_version_	1819113090340356096

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

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