Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
The increasing availability of location-acquisition technologies has enabled collecting large-scale spatiotemporal trajectories, from which we can derive semantic information in urban environments, including location, time, direction, speed, and point of interest. Such semantic information can give...
Enregistré dans:
Auteurs principaux: | Bin Zhao, Mingyu Liu, Jingjing Han, Genlin Ji, Xintao Liu |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi-Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ada9a3b2e3754584934f9b51c82b4267 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Schema-Based Mapping Approach for Data Transformation to Enrich Semantic Web
par: Senthilselvan Natarajan, et autres
Publié: (2021) -
Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System
par: Rongxia Wang, et autres
Publié: (2021) -
Efficient multicasting technique for elastic optical network
par: Mehdi Tarhani, et autres
Publié: (2021) -
Adaptive energy efficient fuzzy: An adaptive and energy efficient fuzzy clustering algorithm for wireless sensor network‐based landslide detection system
par: Suhaib Ahmed, et autres
Publié: (2021) -
Musculoskeletal Rehabilitation Status Monitoring Based on sEMG
par: Xue Han, et autres
Publié: (2021)