MM-quecat: A Tool for Unified Querying of Multi-Model Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10473105" target="_blank" >RIV/00216208:11320/23:10473105 - isvavai.cz</a>

Result on the web

<a href="https://www.ksi.mff.cuni.cz/~koupil/mm-quecat/" target="_blank" >https://www.ksi.mff.cuni.cz/~koupil/mm-quecat/</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

MM-quecat: A Tool for Unified Querying of Multi-Model Data

Original language description

We introduce MM-quecat, a tool that enables one to query multi-model data regardless of the underlying multi-model database or polystore. Using category theory, we provide a unified abstract representation of multi-model data, which can be viewed as a graph and, thus, queried using a SPARQL-based query language. Moreover, the support for cross-model redundancy enables the choice of the optimal multi-model query strategy.

Czech name

—

Czech description

—

Type

R - Software

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

MM-quecat 1.0

Technical parameters

Software publikovaný jako demo článek: Koupil, P. - Crha, D. - Holubova, I.: MM-quecat: A Tool for Unified Querying of Multi-Model Data. EDBT &apos;23: Proceedings of the 26th International Conference on Extending Database Technology, pages 831 - 834, Ioannina, Greece 2023. OpenProceedings.org, 2023. ISBN 978-3-89318-092-9.

Economical parameters

Volně dostupný SW

Owner IČO

00216208

Owner name

Univerzita Karlova