A unified representation and transformation of multi-model data using category theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448516" target="_blank" >RIV/00216208:11320/22:10448516 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mN00FEa15W" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mN00FEa15W</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s40537-022-00613-3" target="_blank" >10.1186/s40537-022-00613-3</a>
Alternative languages
Result language
angličtina
Original language name
A unified representation and transformation of multi-model data using category theory
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Big Data
ISSN
2196-1115
e-ISSN
2196-1115
Volume of the periodical
9
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
49
Pages from-to
1-49
UT code for WoS article
000790266600003
EID of the result in the Scopus database
2-s2.0-85129291877