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Time-Series-Based Queries on Stable Transportation Networks Equipped with Sensors

Bibliographic Data

ID22032436
AuthorsErik Bollen (0000-0002-9287-1094, Flemish Institute for Technological Research, corresponding author), Rik Hendrix (0000-0002-1572-1279, Flemish Institute for Technological Research), Bart Kuijpers (0000-0001-5774-0948, Hasselt University), Alejandro Vaisman (0000-0002-3945-4187, Instituto Tecnológico de Buenos Aires (ITBA))
Year2021
Volume10
Issue8
Pages531
Publication date2021-08-07
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10080531
OpenAlexW3191963506
LanguageEN
Citations received2
References cited28

In this paper, we propose a formalism to query transportation networks that are equipped with sensors that produce time-series data. The core of the proposed query mechanism is a logic-based language that is capable to return time, value, and time-series outputs, as well as Boolean queries. We can also use the language for node selection and path selection. Furthermore, we propose an implementation of this language in a graph database system and evaluate its working on a fragment of the Flemish river system that is equipped with sensors that measure the water height at regular moments in time

Data mining · Flemish · Geography · Graph · Query language · Real-time computing · Advanced Database Systems and Queries · Computer Science · Data Management and Algorithms · Graph Theory and Algorithms · Artificial Intelligence · Theoretical Computer Science

  • Analysing River Systems with Time Series Data Using Path Queries in Graph Databases

    Open Access•Erik Bollen, Rik Hendrix et al.•ISPRS International Journal of…•2023

  • Temporal Paths in Real-World Sensor Networks

    Open Access•Erik Bollen, Bart Kuijpers et al.•ISPRS International Journal of…•2024

  • The Internet of Things

    Open Access•Luigi Atzori, Antonio Iera et al.•Computer Networks•2010

Citations per year0.67
Citation span2023 - 2024 (2)
Highly citedNo

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