Abstract
The temporal path problem is significant and challenging, where the connections between the vertices are temporal and there can be many attributes on the vertices and edges, such as vehicle speed and the price of a flight. Then in path finding, in addition to the single requirement of the length, or the arrival time, people would like to specify multiple constraints on the attributes to illustrate their requirements in real applications, such as the total cost, the total travel time and the stopover interval of a flight between two cities. In this paper, we devise a system called MCTP to answer the new popular Multi-Constrained Path Queries (MCPQs) in attributed temporal graphs. To the best of our knowledge, this is the first system that supports MCPQs.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
References
Shah, N., Koutra, D., Zou, T., Gallagher, B., Faloutsos, C.: Timecrunch: interpretable dynamic graph summarization. In: KDD, pp. 1055–1064 (2015)
Wang, S., Lin, W., Yang, Y., Xiao, X., Zhou, S.: Efficient route planning on public transportation networks: a labelling approach. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, 31 May–4 June 2015, pp. 967–982. ACM (2015)
Wu, H., Cheng, J., Huang, S., Ke, Y., Lu, Y., Xu, Y.: Path problems in temporal graphs. VLDB 7(9), 721–732 (2014)
Zhang, B., Hao, J., Mouftah, H.T.: Bidirectional multi-constrained routing algorithms. IEEE Trans. Comput. 63, 2174–2186 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Shi, J., Liu, G., Zhao, A., Liu, A., Li, Z., Zheng, K. (2018). A Multi-Constrained Temporal Path Query System. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-01391-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01390-5
Online ISBN: 978-3-030-01391-2
eBook Packages: Computer ScienceComputer Science (R0)