Semantic understanding of spatial trajectories

Zhenhui Li

doi:10.1007/978-3-319-64367-0_24

Semantic understanding of spatial trajectories

Zhenhui Li

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

The advances in location-acquisition technologies and the prevalence of location-based services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications.

Original language	English (US)
Title of host publication	Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings
Editors	Wei-Shinn Ku, Agnes Voisard, Haiquan Chen, Chang-Tien Lu, Siva Ravada, Matthias Renz, Yan Huang, Michael Gertz, Liang Tang, Chengyang Zhang, Erik Hoel, Xiaofang Zhou
Publisher	Springer Verlag
Pages	398-401
Number of pages	4
ISBN (Print)	9783319643663
DOIs	https://doi.org/10.1007/978-3-319-64367-0_24
State	Published - 2017
Event	15th International Symposium on Spatial and Temporal Databases, SSTD 2017 - Arlington, United States Duration: Aug 21 2017 → Aug 23 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10411 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	15th International Symposium on Spatial and Temporal Databases, SSTD 2017
Country/Territory	United States
City	Arlington
Period	8/21/17 → 8/23/17

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-64367-0_24

Cite this

Li, Z. (2017). Semantic understanding of spatial trajectories. In W.-S. Ku, A. Voisard, H. Chen, C.-T. Lu, S. Ravada, M. Renz, Y. Huang, M. Gertz, L. Tang, C. Zhang, E. Hoel, & X. Zhou (Eds.), Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings (pp. 398-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10411 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64367-0_24

Li, Zhenhui. / Semantic understanding of spatial trajectories. Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. editor / Wei-Shinn Ku ; Agnes Voisard ; Haiquan Chen ; Chang-Tien Lu ; Siva Ravada ; Matthias Renz ; Yan Huang ; Michael Gertz ; Liang Tang ; Chengyang Zhang ; Erik Hoel ; Xiaofang Zhou. Springer Verlag, 2017. pp. 398-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The advances in location-acquisition technologies and the prevalence of location-based services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications.",

author = "Zhenhui Li",

note = "Funding Information: Acknowledgements. This work was supported in part by NSF awards #1618448, #1652525, #1639150, and #1544455. The views and conclusions contained in this paper are those of the author and should not be interpreted as representing any funding agencies. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 15th International Symposium on Spatial and Temporal Databases, SSTD 2017 ; Conference date: 21-08-2017 Through 23-08-2017",

year = "2017",

doi = "10.1007/978-3-319-64367-0_24",

language = "English (US)",

isbn = "9783319643663",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "398--401",

editor = "Wei-Shinn Ku and Agnes Voisard and Haiquan Chen and Chang-Tien Lu and Siva Ravada and Matthias Renz and Yan Huang and Michael Gertz and Liang Tang and Chengyang Zhang and Erik Hoel and Xiaofang Zhou",

booktitle = "Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings",

address = "Germany",

}

Li, Z 2017, Semantic understanding of spatial trajectories. in W-S Ku, A Voisard, H Chen, C-T Lu, S Ravada, M Renz, Y Huang, M Gertz, L Tang, C Zhang, E Hoel & X Zhou (eds), Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10411 LNCS, Springer Verlag, pp. 398-401, 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, Arlington, United States, 8/21/17. https://doi.org/10.1007/978-3-319-64367-0_24

Semantic understanding of spatial trajectories. / Li, Zhenhui.
Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. ed. / Wei-Shinn Ku; Agnes Voisard; Haiquan Chen; Chang-Tien Lu; Siva Ravada; Matthias Renz; Yan Huang; Michael Gertz; Liang Tang; Chengyang Zhang; Erik Hoel; Xiaofang Zhou. Springer Verlag, 2017. p. 398-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10411 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Semantic understanding of spatial trajectories

AU - Li, Zhenhui

N1 - Funding Information: Acknowledgements. This work was supported in part by NSF awards #1618448, #1652525, #1639150, and #1544455. The views and conclusions contained in this paper are those of the author and should not be interpreted as representing any funding agencies. Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - The advances in location-acquisition technologies and the prevalence of location-based services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications.

AB - The advances in location-acquisition technologies and the prevalence of location-based services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 401

BT - Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings

A2 - Ku, Wei-Shinn

A2 - Voisard, Agnes

A2 - Chen, Haiquan

A2 - Lu, Chang-Tien

A2 - Ravada, Siva

A2 - Renz, Matthias

A2 - Huang, Yan

A2 - Gertz, Michael

A2 - Tang, Liang

A2 - Zhang, Chengyang

A2 - Hoel, Erik

A2 - Zhou, Xiaofang

PB - Springer Verlag

T2 - 15th International Symposium on Spatial and Temporal Databases, SSTD 2017

Y2 - 21 August 2017 through 23 August 2017

ER -

Li Z. Semantic understanding of spatial trajectories. In Ku WS, Voisard A, Chen H, Lu CT, Ravada S, Renz M, Huang Y, Gertz M, Tang L, Zhang C, Hoel E, Zhou X, editors, Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. Springer Verlag. 2017. p. 398-401. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64367-0_24

Semantic understanding of spatial trajectories

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