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Instantiation of Ontouml Models in Multi-Labeled Graph Databases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F24%3A00049254" target="_blank" >RIV/29142890:_____/24:00049254 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21240/24:00375141

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Instantiation of Ontouml Models in Multi-Labeled Graph Databases

  • Original language description

    The importance of conceptual modeling in software engineering is constantly growing along with the complexity of business domains. In order to handle this increasing complexity, it is essential to use modeling notations that provide a high level of abstraction and expressiveness. For this reason, we specifically focus on ontology-driven conceptual modeling and OntoUML notation in our research. In this paper, we present the main ideas behind our novel approach to OntoUML model instantiation using multi-labeled property graph databases, such as Neo4j. Our approach should not only serve to ensure data integrity in graph databases but also provide domain experts with a convenient way to verify the correctness and completeness of their conceptual models. Although there already exist approaches to instantiate OntoUML models using relational databases, our research shows that multi-labeled property graph databases are better suited for this purpose as their versatile data model better correlates to the essential principles of OntoUML. © IS 2024 2024.All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2024

  • 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 17th IADIS International Conference Information Systems 2024, IS 2024

  • ISBN

    978-989-8704-56-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    78-86

  • Publisher name

    IADIS

  • Place of publication

    Porto, Portugalsko

  • Event location

    Porto, Portugalsko

  • Event date

    Jan 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article