An Improved Generic ER Schema for Conceptual Modeling of Information Systems
Dhammika Pieris, M.C Wijegunesekera, and N. G. J. Dias

TL;DR
This paper proposes an improved generic ER schema and transformation method to ensure a one-to-one mapping to relational schemas, thereby maximizing information preservation during the conversion process in information systems development.
Contribution
It introduces a modified ER model and transformation algorithm that guarantee a one-to-one mapping, addressing information loss issues in ER to relational schema transformations.
Findings
A generic ER schema can represent any real-world application.
The modified transformation ensures no information loss during ER to relational schema conversion.
The approach improves the fidelity of information preservation in database design.
Abstract
The Entity-Relationship (ER) model is widely used for creating ER schemas for modeling application domains in the field of Information Systems development. However, when an ER schema is transformed to a Relational Database Schema (RDS), some important information on the ER schema may not be represented meaningfully on the RDS. This causes a loss of information during the transformation process. Although, several previous researches have proposed solutions to remedy the situation, the problem still exists. Thus, in this on-going research, we wish to improve the proposed solutions and maximize information preservation in the ER to relational transformation process. Cardinality ratio constraints, role names, composite attributes, and certain relationship types are among the information frequently lost in the transformation process. Deficiencies in the ER model and the transformation method…
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Taxonomy
TopicsService-Oriented Architecture and Web Services · Advanced Database Systems and Queries · Data Mining Algorithms and Applications
