Research Article
DOOR: A Data Model for Crowdsourcing with Application to Emergency Response
@INPROCEEDINGS{10.1007/978-3-319-19743-2_37, author={To Cuong and Paras Mehta and Agn\'{e}s Voisard}, title={DOOR: A Data Model for Crowdsourcing with Application to Emergency Response}, proceedings={Internet of Things. IoT Infrastructures. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part II}, proceedings_a={IOT360}, year={2015}, month={7}, keywords={Data model Emergency response}, doi={10.1007/978-3-319-19743-2_37} }- To Cuong
Paras Mehta
Agnès Voisard
Year: 2015
DOOR: A Data Model for Crowdsourcing with Application to Emergency Response
IOT360
Springer
DOI: 10.1007/978-3-319-19743-2_37
Abstract
Crowdsourcing allows us to employ collective human intelligence and resources in completing tasks in a wide variety of domains, such as mapping, translation, emergency response, and even fund raising. It first involves identification of a problem that can be solved using crowdsourcing and then its decomposition into tasks that workers can finish in a timely manner. Worker engagement analysis and data quality analysis are done afterwards. Such analysis activities are not supported by current platforms and are done in an ad-hoc fashion leading to duplicate efforts. As a first step towards realizing such analysis mechanisms, we propose a ata mdel for crwdsoucing (DOOR), which is based on a fuzzy Entity-Relationship model in order to capture the uncertainty that is inherent in any crowdsourcing process. To illustrate its application, we have chosen the problem of collection of data about incidents for emergency response.
