MatBase algorithm for translating (E)MDM schemes into E-R data models
Abstract
This paper presents a pseudocode algorithm for translating (Elementary) Mathematical Data Model ((E)MDM) schemes into Entity-Relationship data models. We prove that this algorithm is linear, sound, complete, and semi-optimal. As an example, we apply this algorithm to an (E)MDM scheme for a genealogical tree sub-universe. We also provide the main additional features added to the implementation of this data science reverse engineering algorithm in MatBase, our intelligent knowledge and database management system prototype based on both the Entity-Relationship, (E)MDM, and Relational Data Models.
Cite
@article{arxiv.2512.00662,
title = {MatBase algorithm for translating (E)MDM schemes into E-R data models},
author = {Christian Mancas and Diana Christina Mancas},
journal= {arXiv preprint arXiv:2512.00662},
year = {2026}
}
Comments
Submitted on 11/27/2025 to the Journal of Data Science and Intelligent Systems, BON VIEW PUB. PTE. LTD, Singapore. Withdrawn on 12/12/2025 and submitted to AI & Cyber Forum J. on 12/16/2025. Published in AI & Cyber Forum J. volume 04, issue 02, pp. 01-09