GeoCrowd Enabling Query Answering with Spatial Crowdsourcing.pdfVIP

GeoCrowd: Enabling Query Answering with Spatial Crowdsourcing Leyla Kazemi Cyrus Shahabi IMSC IMSC University of Southern University of Southern California California Los Angeles, CA 90089-0781 Los Angeles, CA 90089-0781 lkazemi@usc.edu shahabi@usc.edu ABSTRACT mobile smart phone users, the phone’s hardware and soft- With the ubiquity of mobile devices, spatial crowdsourcing ware features, and the broadband bandwidth. Therefore, it is emerging as a new platform, enabling spatial tasks (i.e., is critical to fully utilize this new platform for various tasks, tasks related to a location) assigned to and performed by hu- among which the most promising is spatial crowdsourcing. man workers. In this paper, for the first time we introduce a taxonomy for spatial crowdsourcing. Subsequently, we focus In this paper, we introduce spatial crowdsourcing as the pro- on one class of this taxonomy, in which workers send their cess of crowdsourcing a set of spatial tasks (i.e., tasks related locations to a centralized server and thereafter the server to a location) to a set of workers, which requires the work- assigns to every worker his nearby tasks with the objective ers to perform the spatial tasks by physically traveling to of maximizing the overall number of assigned tasks. We for-