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Designing Graph Databases With GRAPHED

Designing Graph Databases With GRAPHED
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Author(s): Gustavo Cordeiro Galvão Van Erven (Ministry of Transparency and Office of the Comptroller General, Brasília, Brazil), Rommel Novaes Carvalho (Ministry of Transparency and Office of the Comptroller General, Brasília, Brazil), Waldeyr Mendes Cordeiro da Silva (Federal Institute of Goiás (IFG), Formosa, Brazil), Sergio Lifschitz (Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil), Harley Vera-Olivera (Universidade de Brasília, Brasília, Brazil) and Maristela Holanda (University of Brasília (UnB), Brasília, Brazil)
Copyright: 2019
Volume: 30
Issue: 1
Pages: 20
Source title: Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (Missouri University of Science and Technology, USA)
DOI: 10.4018/JDM.2019010103


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In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency. Designing diagrams is an approach to satisfying this demand for a conceptual data model. While researchers and companies have been developing concepts and notations for graph database modeling, their notations focus on their specific implementations. In this article, the authors propose a diagram to address this lack of a generic and comprehensive notation for graph databases modeling, named GRAPHED (Graph Description Diagram for Graph Databases). The authors verified the effectiveness and compatibility of GRAPHED in two case studies: fraud identification, and a biological network model.

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