Towards temporal graph database

"In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far. Tempo ral GBDs can capture, for example, the evolution of social networks across time, a relevant topic in data analysis nowadays. We propose a data model and query langu...

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Detalles Bibliográficos
Autores principales: Campos, Alexander, Mozzino, Jorge, Vaisman, Alejandro Ariel
Formato: Ponencias en Congresos publishedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
BASES DE DATOS ORIENTADAS A GRAFOS
LENGUAJES DE PROGRAMACION
OLAP
JAVA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3774
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
Descripción
Sumario:"In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far. Tempo ral GBDs can capture, for example, the evolution of social networks across time, a relevant topic in data analysis nowadays. We propose a data model and query language (denoted TEG-QL) for temporal GDBs, based on the notion of attribute graphs. This allows a straightforward translation to Neo4J, a well-known GBD."

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