MatBase algorithm for translating (E)MDM schemes into E-R data models
By: Christian Mancas, Diana Christina Mancas
Potential Business Impact:
Turns math data into database blueprints.
This paper presents a pseudocode algorithm for translating (Elementary) Mathematical Data Model 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 (Elementary) Mathematical Data Model scheme for a genealogical tree 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.
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