Artículo de Publicación Periódica:
Analysing river systems with time series data using path queries in graph databases

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dc.contributor.authorBollen, Erik
dc.contributor.authorHendrix, Rik
dc.contributor.authorKuijpers, Bart
dc.contributor.authorSoliani, Valeria
dc.contributor.authorVaisman, Alejandro
dc.date.accessioned2024-05-07T15:16:00Z
dc.date.available2024-05-07T15:16:00Z
dc.date.issued2023
dc.description.abstractTransportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location for storage, viewing and analysis. Recent work proposed graph databases to represent transportation networks, since these networks can change over time, a temporal graph data model is required to keep track of these changes. In this model, time-series data are represented as properties of nodes in the network, and nodes and edges are timestamped with their validity intervals. In this paper, we show that transportation networks can be represented and queried using temporal graph databases and temporal graph query languages. Many interesting situations can be captured by the temporal paths supported by this model. To achieve the above, we extend a recently introduced temporal graph data model and its high-level query language T-GQL to support time series in the nodes of the graph, redefine temporal paths and study and implement new kinds of paths, namely Flow paths and Backwards Flow paths. Further, we analyze a real-world case, using a portion of the Yser river in the Flanders’ river system in Belgium, where some nodes are equipped with sensors while other ones are not. We model this river as a temporal graph, implement it using real data provided by the sensors, and discover interesting temporal paths based on the electric conductivity parameter, that can be used in a decision support environment, by experts for analyzing water quality across time.
dc.identifier.urihttps://ri.itba.edu.ar/handle/123456789/4460
dc.language.isoen
dc.subjectSISTEMAS FLUVIALES
dc.subjectREDES DE TRANSPORTE
dc.subjectREDES DE SENSORES
dc.subjectBASES DE DATOS DE GRÁFICOS
dc.subjectBASES DE DATOS TEMPORALES
dc.subjectLENGUAJES DE CONSULTA TEMPORALES
dc.titleAnalysing river systems with time series data using path queries in graph databases
dc.typeArtículo de Publicación Periódica
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Bollen, Erik. Hasselt University and Transnational University Limburg, Belgia y Flemish Institute for Technological Research, Belgia.
itba.description.filiationFil: Hendrix, Rik. Flemish Institute for Technological Research, Belgia.
itba.description.filiationFil: Kuijpers, Bart. Hasselt University and Transnational University Limburg, Belgia.
itba.description.filiationFil: Soliani, Valeria. Hasselt University and Transnational University Limburg, Belgia e Instituto Tecnológico de Buenos Aires, Argentina.
itba.description.filiationFil: Vaisman, Alejandro. Instituto Tecnológico de Buenos Aires, Argentina.

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