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http://hdl.handle.net/1942/38915
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DC Field | Value | Language |
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dc.contributor.author | KUIJPERS, Bart | - |
dc.contributor.author | SOLIANI, Valeria | - |
dc.contributor.author | VAISMAN, Alejandro | - |
dc.date.accessioned | 2022-11-23T10:42:28Z | - |
dc.date.available | 2022-11-23T10:42:28Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-10-26T15:59:23Z | - |
dc.identifier.citation | Chiusano, Silvia; Cerquitelli, Tania; Wrembel, Robert; Norvag, Kjetil; Catania, Barbara (Ed.). ADBIS 2022: New Trends in Database and Information Systems, Springer, p. 222 -231 | - |
dc.identifier.isbn | 978-3-031-15742-4 | - |
dc.identifier.issn | 1865-0929 | - |
dc.identifier.uri | http://hdl.handle.net/1942/38915 | - |
dc.description.abstract | Transportation networks (e.g., river systems or road networks) equipped with sensors that collect data for several different purposes 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.description.sponsorship | Valeria Soliani and Alejandro Vaisman were partially supported by Project PICT 2017-1054, from the Argentinian Scientific Agency. | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Communications in Computer and Information Science | - |
dc.rights | 2022 Springer Nature Switzerland AG | - |
dc.subject.other | Graph databases | - |
dc.subject.other | Temporal databases | - |
dc.subject.other | Sensor networks | - |
dc.title | Modeling and Querying Sensor Networks Using Temporal Graph Databases | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Chiusano, Silvia | - |
local.bibliographicCitation.authors | Cerquitelli, Tania | - |
local.bibliographicCitation.authors | Wrembel, Robert | - |
local.bibliographicCitation.authors | Norvag, Kjetil | - |
local.bibliographicCitation.authors | Catania, Barbara | - |
local.bibliographicCitation.conferencedate | 5-8 sept 2022 | - |
local.bibliographicCitation.conferencename | ADBIS 2022 | - |
local.bibliographicCitation.conferenceplace | Turijn, Italie | - |
dc.identifier.epage | 231 | - |
dc.identifier.spage | 222 | - |
dc.identifier.volume | 1652 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | Turin, Italy | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 1652 | - |
dc.identifier.doi | 10.1007/978-3-031-15743-1_21 | - |
dc.identifier.isi | 000892609000021 | - |
dc.identifier.eissn | 1865-0937 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | ADBIS 2022: New Trends in Database and Information Systems | - |
local.dataset.doi | https://doi.org/10.1007/978-3-031-15743-1_21 | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2023 | - |
item.contributor | KUIJPERS, Bart | - |
item.contributor | SOLIANI, Valeria | - |
item.contributor | VAISMAN, Alejandro | - |
item.accessRights | Restricted Access | - |
item.fullcitation | KUIJPERS, Bart; SOLIANI, Valeria & VAISMAN, Alejandro (2022) Modeling and Querying Sensor Networks Using Temporal Graph Databases. In: Chiusano, Silvia; Cerquitelli, Tania; Wrembel, Robert; Norvag, Kjetil; Catania, Barbara (Ed.). ADBIS 2022: New Trends in Database and Information Systems, Springer, p. 222 -231. | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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978-3-031-15743-1_21.pdf Restricted Access | Published version | 2.29 MB | Adobe PDF | View/Open Request a copy |
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