Articles | Volume 13, issue 2
https://doi.org/10.5194/gi-13-353-2024
https://doi.org/10.5194/gi-13-353-2024
Research article
 | 
27 Nov 2024
Research article |  | 27 Nov 2024

Managing data of sensor-equipped transportation networks using graph databases

Erik Bollen, Rik Hendrix, and Bart Kuijpers

Related subject area

Data management
Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns
Matthias Zeeman, Andreas Christen, Sue Grimmond, Daniel Fenner, William Morrison, Gregor Feigel, Markus Sulzer, and Nektarios Chrysoulakis
EGUsphere, https://doi.org/10.5194/egusphere-2024-1469,https://doi.org/10.5194/egusphere-2024-1469, 2024
Short summary
Research on online data transmission technology in a marine controlled-source electromagnetic transmitter
Chentao Wang, Ming Deng, Nini Duan, Xiaoxi Ma, and Meng Wang
Geosci. Instrum. Method. Data Syst., 12, 187–200, https://doi.org/10.5194/gi-12-187-2023,https://doi.org/10.5194/gi-12-187-2023, 2023
Short summary
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
Roberto Pierdicca and Marina Paolanti
Geosci. Instrum. Method. Data Syst., 11, 195–218, https://doi.org/10.5194/gi-11-195-2022,https://doi.org/10.5194/gi-11-195-2022, 2022
Short summary
Soil CO2 efflux errors are lognormally distributed – implications and guidance
Thomas Wutzler, Oscar Perez-Priego, Kendalynn Morris, Tarek S. El-Madany, and Mirco Migliavacca
Geosci. Instrum. Method. Data Syst., 9, 239–254, https://doi.org/10.5194/gi-9-239-2020,https://doi.org/10.5194/gi-9-239-2020, 2020
Short summary
CÆLIS: software for assimilation, management and processing data of an atmospheric measurement network
David Fuertes, Carlos Toledano, Ramiro González, Alberto Berjón, Benjamín Torres, Victoria E. Cachorro, and Ángel M. de Frutos
Geosci. Instrum. Method. Data Syst., 7, 67–81, https://doi.org/10.5194/gi-7-67-2018,https://doi.org/10.5194/gi-7-67-2018, 2018
Short summary

Cited articles

Abiteboul, S. and Vianu, V.: Regular Path Queries with Constraints, J. Comput. Syst. Sci., 58, 428–452, https://doi.org/10.1006/jcss.1999.1627, 1999. a
Angles, R.: The Property Graph Database Model, in: Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, Cali, Colombia, 21–25 May 2018, vol. 2100 of CEUR Workshop Proceedings, 1–10, https://CEUR-WS.org (last access: 20 November 2024), Cali, Colombia, 2018. a, b
Angles, R. and Gutiérrez, C.: Survey of graph database models, ACM Comput. Surv., 40, 1:1–1:39, 2008. a
Angles, R., Arenas, M., Barceló, P., Hogan, A., Reutter, J., and Vrgoč, D.: Foundations of Modern Query Languages for Graph Databases, ACM Comput. Surv., 50, 1–40, https://doi.org/10.1145/3104031, 2017. a
Backofen, R.: Regular path expressions in feature logic, in: Rewriting Techniques and Applications, edited by: Kirchner, C., 121–135, Springer Berlin Heidelberg, Berlin, Heidelberg, ISBN 978-3-662-21551-7, 1993. a
Download
Short summary
Transportation networks, such as road or river systems and electricity grids, are often equipped with various sensors that produce vast amounts of data that reflect real-life situations on these networks. We present an all-in-one data management solution to deal with these data. Our solution addresses both the storage and querying of such data and is based on a theoretical database model and query logic. In addition, this is implemented and tested on real-life datasets.