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...

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Autores principales:	Bin Zhao, Mingyu Liu, Jingjing Han, Genlin Ji, Xintao Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/ada9a3b2e3754584934f9b51c82b4267
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id	oai:doaj.org-article:ada9a3b2e3754584934f9b51c82b4267
record_format	dspace
spelling	oai:doaj.org-article:ada9a3b2e3754584934f9b51c82b42672021-11-22T01:10:20ZEfficient Semantic Enrichment Process for Spatiotemporal Trajectories1530-867710.1155/2021/4488781https://doaj.org/article/ada9a3b2e3754584934f9b51c82b42672021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4488781https://doaj.org/toc/1530-8677The 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 us a semantic interpretation of movement behaviors of moving objects. However, existing semantic enrichment process approaches, which can produce semantic trajectories, are generally time-consuming. In this paper, we propose an efficient semantic enrichment process framework to annotate spatiotemporal trajectories by using geographic and application domain knowledge. The framework mainly includes preannotated semantic trajectory storage phase, spatiotemporal similarity measurement phase, and semantic information matching phase. Having observed the common trajectories in the same geospatial object scenes, we propose a semantic information matching algorithm to match semantic information in preannotated semantic trajectories to new spatiotemporal trajectories. In order to improve the efficiency of this approach, we build a spatial index to enhance the preannotated semantic trajectories. Finally, the experimental results based on a real dataset demonstrate the effectiveness and efficiency of our proposed approaches.Bin ZhaoMingyu LiuJingjing HanGenlin JiXintao LiuHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Bin Zhao Mingyu Liu Jingjing Han Genlin Ji Xintao Liu Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
description	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 us a semantic interpretation of movement behaviors of moving objects. However, existing semantic enrichment process approaches, which can produce semantic trajectories, are generally time-consuming. In this paper, we propose an efficient semantic enrichment process framework to annotate spatiotemporal trajectories by using geographic and application domain knowledge. The framework mainly includes preannotated semantic trajectory storage phase, spatiotemporal similarity measurement phase, and semantic information matching phase. Having observed the common trajectories in the same geospatial object scenes, we propose a semantic information matching algorithm to match semantic information in preannotated semantic trajectories to new spatiotemporal trajectories. In order to improve the efficiency of this approach, we build a spatial index to enhance the preannotated semantic trajectories. Finally, the experimental results based on a real dataset demonstrate the effectiveness and efficiency of our proposed approaches.
format	article
author	Bin Zhao Mingyu Liu Jingjing Han Genlin Ji Xintao Liu
author_facet	Bin Zhao Mingyu Liu Jingjing Han Genlin Ji Xintao Liu
author_sort	Bin Zhao
title	Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
title_short	Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
title_full	Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
title_fullStr	Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
title_full_unstemmed	Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
title_sort	efficient semantic enrichment process for spatiotemporal trajectories
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/ada9a3b2e3754584934f9b51c82b4267
work_keys_str_mv	AT binzhao efficientsemanticenrichmentprocessforspatiotemporaltrajectories AT mingyuliu efficientsemanticenrichmentprocessforspatiotemporaltrajectories AT jingjinghan efficientsemanticenrichmentprocessforspatiotemporaltrajectories AT genlinji efficientsemanticenrichmentprocessforspatiotemporaltrajectories AT xintaoliu efficientsemanticenrichmentprocessforspatiotemporaltrajectories
_version_	1718418361926287360

Efficient Semantic Enrichment Process for Spatiotemporal Trajectories

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