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MM-evocat: A Tool for Modelling and Evolution Management 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%3A10448523" target="_blank" >RIV/00216208:11320/22:10448523 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data

  • Original language description

    In this paper, we focus on the problem of evolution management of multi-model data. With the changing user requirements, the schema and the data need to be adapted to preserve the expected functionality of a multi-model application. We introduce a tool MM-evocat based on utilising the category theory. We show that the core of the tool, i.e., the categorical representation of multi-model data, enables us to grasp all the specifics of the individual models and their possible combinations. Its simple but powerful formal basis enables unique and robust support for evolution management.

  • 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 31st ACM International Conference on Information and Knowledge Management

  • ISBN

    978-1-4503-9236-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    4892-4896

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    Atlanta, Georgia, USA

  • Event date

    Oct 17, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article