A model for semantic and spatio-temporal interconnected trajectory representation

Runyu Miao; Yijia Miao

doi:10.1117/12.3049134

27 November 2024 A model for semantic and spatio-temporal interconnected trajectory representation

Runyu Miao, Yijia Miao

Author Affiliations +

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 1340221 (2024) https://doi.org/10.1117/12.3049134
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

In the era of big data, the full utilization of trajectory data has received extensive attention from researchers, who have proposed a large number of trajectory models with different characteristics and have been practical in terms of trajectory representation models. However, the existing trajectory representation models do not model the semantic features of trajectories sufficiently, and there is a lack of fusion between semantic features and spatio-temporal features, and there is no unified model expression. Therefore, there is an urgent need for a model that can represent the trajectory movement process to unify the semantic and spatio-temporal features of trajectory data. The model proposed in this paper constructs a trajectory domain ontology using knowledge graph technology under the premise of trajectory preprocessing and segmentation; then semantically enriches the trajectory entity by combining with open data; and finally verifies the practicability and validity of the model through the display of multi-dimensional features of the trajectory, the temporal deduction of the trajectory moving process, and the query of multi-dimensional features of the trajectory. This model does not need to develop complex data mining algorithms to realize the classification query and correlation analysis of multi-dimensional features of trajectory data.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Runyu Miao and Yijia Miao "A model for semantic and spatio-temporal interconnected trajectory representation", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 1340221 (27 November 2024); https://doi.org/10.1117/12.3049134

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE