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MM-infer: A Tool for Inference of Multi-Model Schemas

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448518" target="_blank" >RIV/00216208:11320/22:10448518 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.48786/edbt.2022.52" target="_blank" >http://dx.doi.org/10.48786/edbt.2022.52</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.48786/edbt.2022.52" target="_blank" >10.48786/edbt.2022.52</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MM-infer: A Tool for Inference of Multi-Model Schemas

  • Original language description

    In this paper, we present our prototype implementation MM-infer that ensures inference of a common schema of multi-model data. It supports popular data models and all three types of their mutual combinations, i.e., inter-model references, the embedding of models, and cross-model redundancy. Following the current trends, the implementation can efficiently process large amounts of data. To the best of our knowledge, ours is the first tool addressing schema inference in the world of multi-model databases.

  • 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 25th International Conference on Extending Database Technology

  • ISBN

    978-3-89318-081-3

  • ISSN

    2367-2005

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    566-569

  • Publisher name

    OpenProceedings.org

  • Place of publication

    Berlin, Germany

  • Event location

    Edinburgh, UK

  • Event date

    Mar 29, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article