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Unifying categorical representation of multi-model data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448517" target="_blank" >RIV/00216208:11320/22:10448517 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3477314.3507690" target="_blank" >https://doi.org/10.1145/3477314.3507690</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3477314.3507690" target="_blank" >10.1145/3477314.3507690</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unifying categorical representation of multi-model data

  • Original language description

    The support for multi-model data has become a standard for most of the existing DBMSs. The tools for database design are general enough to cover multiple models, too. However, the step from a conceptual (e.g., ER or UML) schema to a logical multi-model schema of a DBMS (or their combination) is not straightforward. In this paper, we show how category theory can be used for representation of multi-model data and schema and how the mutual mapping between the categorical representation and logical models of particular DBMSs can be designed. For this purpose we define the notion of an access path which enables to specify the mapping for all the currently popular models. To demonstrate advantages of the proposal we introduce framework MM-cat which applies the proposed approaches on 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

    2022

  • 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 Symposium on Applied Computing

  • ISBN

    978-1-4503-8713-2

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    365-371

  • Publisher name

    ACM

  • Place of publication

    US

  • Event location

    Brno, Czech Republic

  • Event date

    Apr 25, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000946564100049