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) |
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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 | |
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) |
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Volume | 10411 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 15th International Symposium on Spatial and Temporal Databases, SSTD 2017 |
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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.