Extending the ER Model to relational Model novel transformation Algorithm: transforming relationship Types among Subtypes
Dhammika Pieris

TL;DR
This paper introduces an extended algorithm for transforming ER models with relationship types among subtypes into relational models, aiming to improve conceptual modeling and support empirical evaluation.
Contribution
It presents the remaining part of a novel transformation algorithm, extending existing methods for ER to relational model conversion.
Findings
Algorithm successfully transforms ER models with subtypes
Supports empirical evaluations of the new approach
Enhances understanding of ER to relational transformation
Abstract
A novel approach for creating ER conceptual models and an algorithm for transforming them to the relational model has been developed by modifying and extending the existing methods. A part of the new algorithm has previously been presented. This paper presents the rest of the algorithm. One of the objectives of this paper is to use it as a supportive document for ongoing empirical evaluations of the new approach being conducted using the cognitive engagement method and with the participation of different segments of the field as respondents.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Text Analysis Techniques · Biomedical Text Mining and Ontologies
