A unified representation and transformation of multi-model data using category theory
The support for multi-model data has become a standard for most of the existing DBMSs. However, the step from a conceptual (e.g., ER or UML) schema to a logical multi-model schema of a particular DBMS is not straightforward. In this paper, we extend our previous proposal of multi-model data represen...
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Veröffentlicht in: | Journal of Big Data 2022-05, Vol.9 (1), p.1-49, Article 61 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The support for multi-model data has become a standard for most of the existing DBMSs. However, the step from a conceptual (e.g., ER or UML) schema to a logical multi-model schema of a particular DBMS is not straightforward. In this paper, we extend our previous proposal of multi-model data representation using category theory for transformations between models. We introduce a mapping between multi-model data and the categorical representation and algorithms for mutual transformations between them. We also show how the algorithms can be implemented using the idea of wrappers with the interface published but specific internal details concealed. Finally, we discuss the applicability of the approach to various data management tasks, such as conceptual querying. |
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ISSN: | 2196-1115 2196-1115 |
DOI: | 10.1186/s40537-022-00613-3 |