Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2000

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.

Keywords

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

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering; Information Systems and Management

Publication

Proceedings of the Americas Conference on Information Systems, California, USA, 2000 August 10-13

First Page

470

Last Page

473

Identifier

aisel.aisnet.org/amcis2000/14

Publisher

AIS

City or Country

Atlanta

Additional URL

https://doi.org/aisel.aisnet.org/amcis2000/14

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