Article

Categorical Modeling of Multi-model Data: One Model to Rule Them All

Authors:

Martin Svoboda,

Pavel Čontoš,

Irena HolubováAuthors Info & Claims

Model and Data Engineering: 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021, Proceedings

Pages 190 - 198

https://doi.org/10.1007/978-3-030-78428-7_15

Published: 21 June 2021 Publication History

Abstract

As most of the DBMSs have become multi-model, there have occurred plenty of related issues. One of them is a design of a multi-model application, where the step from the conceptual layer to a set of distinct interlinked logical models is not straightforward. We propose an approach based on category theory, which provides a unified view of the data and a solid mathematical basis for their management. We propose a schema and instance categories covering popular models and we show how an ER model can be transformed to such a categorical layer. We also outline the whole framework based on the categorical model.

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Cited By

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Koupil PHricko SHolubová ISyriani ESahraoui H(2022)Schema inference for multi-model dataProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems10.1145/3550355.3552400(13-23)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3550355.3552400
Koupil PHolubová IHong JBures MPark JCerny T(2022)Unifying categorical representation of multi-model dataProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507690(365-371)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3477314.3507690
Holubova IContos PSvoboda M(2021)Categorical Management of Multi-Model DataProceedings of the 25th International Database Engineering & Applications Symposium10.1145/3472163.3472166(134-140)Online publication date: 14-Jul-2021
https://dl.acm.org/doi/10.1145/3472163.3472166

Index Terms

Categorical Modeling of Multi-model Data: One Model to Rule Them All
1. Information systems
  1. Data management systems
2. Theory of computation
  1. Theory and algorithms for application domains

Index terms have been assigned to the content through auto-classification.

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Model and Data Engineering: 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021, Proceedings

Jun 2021

328 pages

ISBN:978-3-030-78427-0

DOI:10.1007/978-3-030-78428-7

Editors:
Christian Attiogbé
University of Nantes, Nantes, France
,
Sadok Ben Yahia
Tallinn University of Technology, Tallinn, Estonia

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 21 June 2021

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Koupil PHricko SHolubová ISyriani ESahraoui H(2022)Schema inference for multi-model dataProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems10.1145/3550355.3552400(13-23)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3550355.3552400
Koupil PHolubová IHong JBures MPark JCerny T(2022)Unifying categorical representation of multi-model dataProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507690(365-371)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3477314.3507690
Holubova IContos PSvoboda M(2021)Categorical Management of Multi-Model DataProceedings of the 25th International Database Engineering & Applications Symposium10.1145/3472163.3472166(134-140)Online publication date: 14-Jul-2021
https://dl.acm.org/doi/10.1145/3472163.3472166

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Categorical Management of Multi-Model Data

Abstract Model for Multi-model Data

Multi-Model Data Modeling and Representation: State of the Art and Research Challenges

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