Modeling and querying sensor networks using temporal graph databases

Kuijpers, Bart; Soliani, Valeria; Vaisman, Alejandro Ariel

Ponencia en Congreso:
Modeling and querying sensor networks using temporal graph databases

dc.contributor.author	Kuijpers, Bart
dc.contributor.author	Soliani, Valeria
dc.contributor.author	Vaisman, Alejandro Ariel
dc.date.accessioned	2023-01-13T15:29:49Z
dc.date.available	2023-01-13T15:29:49Z
dc.date.issued	2022
dc.description.abstract	"Transportation networks (e.g., river systems or road net works) equipped with sensors that collect data for several different pur poses can be naturally modeled using graph databases. However, since networks can change over time, to represent these changes appropriately, a temporal graph data model is required. In this paper, we show that sensor-equipped transportation networks can be represented and queried using temporal graph databases and query languages. For this, 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. We redefine temporal paths and study and implement a new kind of path, called Flow path. We take the Flanders’ river system as a use case."
dc.identifier.uri	https://ri.itba.edu.ar/handle/123456789/4152
dc.language.iso	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-15743-1_21
dc.subject	BASES DE DATOS ORIENTADAS A GRAFOS
dc.title	Modeling and querying sensor networks using temporal graph databases
dc.type	Ponencia en Congreso
dc.type	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Kuijpers, Bart. Universiteit Hasselt; Bélgica.
itba.description.filiation	Fil: Soliani, Valeria. Universiteit Hasselt; Bélgica.
itba.description.filiation	Fil: Soliani, Valeria. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Vaisman, Alejandro Ariel. Instituto Tecnológico de Buenos Aires; Argentina.