Categorical Modeling of Multi-model Data: One Model to Rule Them All
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10433353" target="_blank" >RIV/00216208:11320/21:10433353 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-78428-7_15" target="_blank" >https://doi.org/10.1007/978-3-030-78428-7_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-78428-7_15" target="_blank" >10.1007/978-3-030-78428-7_15</a>
Alternative languages
Result language
angličtina
Original language name
Categorical Modeling of Multi-model Data: One Model to Rule Them All
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA20-22276S" target="_blank" >GA20-22276S: Unified Management of Multi-Model Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-030-78428-7
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
308-316
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Tallinn, Estonia
Event date
Jun 21, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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