The datAcron Ontology for the Specification of Semantic Trajectories-Reference-Cited by-同舟云学术

The datAcron Ontology for the Specification of Semantic Trajectories

Published:2019-11-07 Issue:4 Volume:8 Page:235-262
ISSN:1861-2032
Container-title:Journal on Data Semantics
language:en
Short-container-title:J Data Semant

Author:

Vouros George A.^ORCID,Santipantakis Georgios M.,Doulkeridis Christos,Vlachou Akrivi,Andrienko Gennady,Andrienko Natalia,Fuchs Georg,Cordero Garcia Jose Manuel,Martinez Miguel Garcia

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13740-019-00108-0.pdf

Reference34 articles.

1. Al-Dohuki S, Wu Y, Kamw F, Yang J, Li X, Zhao Y, Ye X, Chen W, Ma C, Wang F (2017) Semantictraj: a new approach to interacting with massive taxi trajectories. IEEE Trans Vis Comput Graph 23(1):11–20. https://doi.org/10.1109/TVCG.2016.2598416

2. Allen JF (1983) Maintaining knowledge about temporal intervals. Commun ACM 26(11):832–843. https://doi.org/10.1145/182.358434

3. Alvares LO, Bogorny V, Kuijpers B, de Macêdo JAF, Moelans B, Vaisman AA (2007) A model for enriching trajectories with semantic geographical information. In: GIS, p 22

4. Andrienko G, Andrienko N (2018) Creating maps of artificial spaces to explore trajectories. In: Proceedings of the 2018 international conference on advanced visual interfaces, AVI ’18, pp 53:1–53:3. ACM, New York. https://doi.org/10.1145/3206505.3206557

5. Andrienko G, Andrienko N, Bak P, Keim D, Wrobel S (2013a) Visual analytics of movement. Springer, Berlin

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. An RDF Benchmark for Enriched Maritime Data;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023;2023-11-13

3. ReconTraj4Drones: A Framework for the Reconstruction and Semantic Modeling of UAVs’ Trajectories on MovingPandas;Applied Sciences;2023-01-03

4. An Ontology for Representing and Querying Semantic Trajectories in the Maritime Domain;Advances in Databases and Information Systems;2023

5. Semantic Modeling of Ship Behavior in Cognitive Space;Journal of Marine Science and Engineering;2022-09-22