MatBase Algorithm for Translating Entity-Relationship Data Models into (Elementary) Mathematical Data Model Schemes
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908676852285440 |
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| author | Mancas, Christian Mancas, Diana Christina |
| author_facet | Mancas, Christian Mancas, Diana Christina |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07326 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MatBase Algorithm for Translating Entity-Relationship Data Models into (Elementary) Mathematical Data Model Schemes Mancas, Christian Mancas, Diana Christina Databases 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. |
| title | MatBase Algorithm for Translating Entity-Relationship Data Models into (Elementary) Mathematical Data Model Schemes |
| topic | Databases |
| url | https://arxiv.org/abs/2504.07326 |