MatBase Algorithm for Translating Entity-Relationship Data Models into (Elementary) Mathematical Data Model Schemes
Abstract
This paper presents a pseudocode algorithm for translating Entity-Relationship data models into (Elementary) Mathematical Data Model schemes. We prove that this algorithm is linear, sound, complete, and optimal. As an example, we apply this algorithm to an Entity-Relationship data model for a teaching sub-universe. We also provide the main additional features added to the implementation of this algorithm in MatBase, our intelligent knowledge and database management system prototype based on both the Entity-Relationship, (Elementary) Mathematical, and Relational Data Models.
Keywords
Cite
@article{arxiv.2504.07326,
title = {MatBase Algorithm for Translating Entity-Relationship Data Models into (Elementary) Mathematical Data Model Schemes},
author = {Christian Mancas and Diana Christina Mancas},
journal= {arXiv preprint arXiv:2504.07326},
year = {2025}
}
Comments
Paper submitted to Cureus Journal of Computer Science on April 10, 2025. As it was not accepted for publication, it was revised and submitted to the Primera Scientific Engineering Journal on October 18, 2025, and published on November 26, 2025