Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system

"The “Internet of Water” project will deploy 2,500 sensors along the Flemish river system, in Belgium. These sensors will be part of a monitoring system. This will produce anenormous amount of data, on which prediction and analysis tasks can be performed. To represent, store, and query river da...

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Autores principales: Bollen, Erik, Hendrix, Rik, Kuijpers, Bart, Vaisman, Alejandro Ariel
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
SISTEMAS DE CONTROL
ANALISIS DE DATOS
BASES DE DATOS ORIENTADAS A GRAFOS
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3890
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3890
record_format dspace
spelling I32-R138-123456789-38902022-12-07T13:06:09Z Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system Bollen, Erik Hendrix, Rik Kuijpers, Bart Vaisman, Alejandro Ariel SISTEMAS DE CONTROL ANALISIS DE DATOS BASES DE DATOS ORIENTADAS A GRAFOS "The “Internet of Water” project will deploy 2,500 sensors along the Flemish river system, in Belgium. These sensors will be part of a monitoring system. This will produce anenormous amount of data, on which prediction and analysis tasks can be performed. To represent, store, and query river data, relational databases are normally used. However, this choice introduces an “impedance mismatch” between the conceptual representation (typically a graph) and the storage model (relational tables). To solve this problem, this article proposes to use graph databases. The Flemish river system is presented as a use case and the Neo4j graph database and its high-level query language, Cypher, are used for storing and querying the data, respectively. A relational alternative is implemented over the PostgreSQL database. A collection of representative queries of interest for hydrologists is defined over both database implementations." 2022-05-23T18:15:27Z 2022-05-23T18:15:27Z 2021-07 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion http://ri.itba.edu.ar/handle/123456789/3890 en info:eu-repo/semantics/altIdentifier/doi.org/10.1111/tgis.12801 info:eu-repo/grantAgreement/ANPCyT/PICT/2017- 1054/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/BOF/20OWB27/BE Hasselt info:eu-repo/grantAgreement/VITO/2010478/BE Mol application/pdf Flemish river (Bélgica)
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic SISTEMAS DE CONTROL
ANALISIS DE DATOS
BASES DE DATOS ORIENTADAS A GRAFOS
spellingShingle SISTEMAS DE CONTROL
ANALISIS DE DATOS
BASES DE DATOS ORIENTADAS A GRAFOS
Bollen, Erik
Hendrix, Rik
Kuijpers, Bart
Vaisman, Alejandro Ariel
Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
topic_facet SISTEMAS DE CONTROL
ANALISIS DE DATOS
BASES DE DATOS ORIENTADAS A GRAFOS
description "The “Internet of Water” project will deploy 2,500 sensors along the Flemish river system, in Belgium. These sensors will be part of a monitoring system. This will produce anenormous amount of data, on which prediction and analysis tasks can be performed. To represent, store, and query river data, relational databases are normally used. However, this choice introduces an “impedance mismatch” between the conceptual representation (typically a graph) and the storage model (relational tables). To solve this problem, this article proposes to use graph databases. The Flemish river system is presented as a use case and the Neo4j graph database and its high-level query language, Cypher, are used for storing and querying the data, respectively. A relational alternative is implemented over the PostgreSQL database. A collection of representative queries of interest for hydrologists is defined over both database implementations."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Bollen, Erik
Hendrix, Rik
Kuijpers, Bart
Vaisman, Alejandro Ariel
author_facet Bollen, Erik
Hendrix, Rik
Kuijpers, Bart
Vaisman, Alejandro Ariel
author_sort Bollen, Erik
title Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
title_short Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
title_full Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
title_fullStr Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
title_full_unstemmed Towards the Internet of water: Using graph databases for hydrological analysis on the Flemish river system
title_sort towards the internet of water: using graph databases for hydrological analysis on the flemish river system
publishDate 2022
url http://ri.itba.edu.ar/handle/123456789/3890
work_keys_str_mv AT bollenerik towardstheinternetofwaterusinggraphdatabasesforhydrologicalanalysisontheflemishriversystem
AT hendrixrik towardstheinternetofwaterusinggraphdatabasesforhydrologicalanalysisontheflemishriversystem
AT kuijpersbart towardstheinternetofwaterusinggraphdatabasesforhydrologicalanalysisontheflemishriversystem
AT vaismanalejandroariel towardstheinternetofwaterusinggraphdatabasesforhydrologicalanalysisontheflemishriversystem
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