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MM-cat: A Tool for Modeling 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%2F21%3A10433577" target="_blank" >RIV/00216208:11320/21:10433577 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MM-cat: A Tool for Modeling and Transformation of Multi-Model Data using Category Theory

  • Original language description

    In this paper, we introduce MM-cat, a modular and extensible framework that enables to perform all the necessary steps to design a multi-model schema. An initial ER schema is transformed to a unified categorical representation which can then be easily mapped to any combination of models in a particular DBMS, or their set. In addition, MM-cat also provides a categorical representation of multi-model data instances to be processed uniformly. Both the schema and instance categories serve as the core for further management of multi-model data. The whole process of transformation to/from the categorical representation is demonstrated using MongoDB and PostgreSQL.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

    Proceedings of the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems

  • ISBN

    978-1-66542-485-1

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    635-639

  • Publisher name

    IEEE

  • Place of publication

    Fukuoka, Japan

  • Event location

    Fukuoka, Japan

  • Event date

    Oct 10, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article