Towards a unified spatial crowdsourcing platform

Christopher Jonathan; Mohamed F. Mokbel

doi:10.1007/978-3-319-64367-0_20

Towards a unified spatial crowdsourcing platform

Christopher Jonathan, Mohamed F. Mokbel

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

2 Scopus citations

Abstract

This paper provides the vision of a unified spatial crowdsourcing platform that is designed to efficiently tackle different types of spatial tasks which have been gaining a lot of popularity in recent years. Several examples of spatial tasks are ride-sharing services, delivery services, translation tasks, and crowd-sensing tasks. While existing crowdsourcing platforms, such as Amazon Mechanical Turk and Upwork, are widely used to solve lots of general tasks, e.g., image labeling; using these marketplaces to solve spatial tasks results in low quality results. This paper identifies a set of characteristics for a unified spatial crowdsourcing environment and provides the core components of the platform that are required to empower the capability in solving different types of spatial tasks.

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	379-383
Number of pages	5
ISBN (Print)	9783319643663
DOIs	https://doi.org/10.1007/978-3-319-64367-0_20
State	Published - 2017
Externally published	Yes
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

Bibliographical note

Funding Information:
This work is partially supported by the National Science Foundation, USA, under Grants IIS-1525953, CNS-1512877, IIS-1218168, and IIS-0952977. 1 https://www.mturk.com/. 2 https://www.upwork.com/.

Publisher Copyright:
© Springer International Publishing AG 2017.

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Jonathan, C., & Mokbel, M. F. (2017). Towards a unified spatial crowdsourcing platform. 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. 379-383). (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_20

Towards a unified spatial crowdsourcing platform. / Jonathan, Christopher; Mokbel, Mohamed F.
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. 379-383 (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

Jonathan, C & Mokbel, MF 2017, Towards a unified spatial crowdsourcing platform. 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. 379-383, 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_20

Jonathan C, Mokbel MF. Towards a unified spatial crowdsourcing platform. 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. 379-383. (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_20

Jonathan, Christopher ; Mokbel, Mohamed F. / Towards a unified spatial crowdsourcing platform. 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. 379-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Towards a unified spatial crowdsourcing platform

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