Instantiation of Ontouml Models in Multi-Labeled Graph Databases

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21240/24:00375141

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Instantiation of Ontouml Models in Multi-Labeled Graph Databases

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Instantiation of Ontouml Models in Multi-Labeled Graph Databases

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 17th IADIS International Conference Information Systems 2024, IS 2024

ISBN

978-989-8704-56-6

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

78-86

Název nakladatele

IADIS

Místo vydání

Porto, Portugalsko

Místo konání akce

Porto, Portugalsko

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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