CrowdSC: Building Smart Cities with Large-Scale Citizen Participation : SMART CITIES
Identifieur interne : 000026 ( PascalFrancis/Corpus ); précédent : 000025; suivant : 000027CrowdSC: Building Smart Cities with Large-Scale Citizen Participation : SMART CITIES
Auteurs : Karim Benouaret ; Raman Valliyur-Ramalingam ; François CharoySource :
- IEEE internet computing [ 1089-7801 ] ; 2013.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
A platform that connects citizens effectively to local government, letting them contribute to their community's general well-being, would be an elegant way to make cities smarter. CrowdSC is a crowdsourcing framework designed for smarter cities. The framework lets users combine data collection, selection, and assessment activities in a crowdsourcing process to achieve sophisticated goals within a predefined context. Depending upon this process's execution strategy, different outcomes are possible. The authors describe CrowdSC's process model and evaluate three execution strategies.
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Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 14-0079396 INIST |
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ET : | CrowdSC: Building Smart Cities with Large-Scale Citizen Participation : SMART CITIES |
AU : | BENOUARET (Karim); VALLIYUR-RAMALINGAM (Raman); CHAROY (François) |
AF : | Inria/France (1 aut.); Inria-LORIA, University of Lorraine/France (2 aut., 3 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | IEEE internet computing ; ISSN 1089-7801; Etats-Unis; Da. 2013; Vol. 17; No. 6; Pp. 57-63 |
LA : | Anglais |
EA : | A platform that connects citizens effectively to local government, letting them contribute to their community's general well-being, would be an elegant way to make cities smarter. CrowdSC is a crowdsourcing framework designed for smarter cities. The framework lets users combine data collection, selection, and assessment activities in a crowdsourcing process to achieve sophisticated goals within a predefined context. Depending upon this process's execution strategy, different outcomes are possible. The authors describe CrowdSC's process model and evaluate three execution strategies. |
CC : | 001D14I02; 001D14A06; 001D02B04; 295 |
FD : | Informatique diffuse; Source information; Collecte donnée; Domotique; Zone urbaine; Réseau social; Echelle grande; Modélisation |
ED : | Pervasive computing; Information source; Data gathering; Home automation; Urban area; Social network; Large scale; Modeling |
SD : | Informática difusa; Fuente información; Recolección dato; Automatización doméstica; Zona urbana; Red social; Escala grande; Modelización |
LO : | INIST-26736.354000501597490070 |
ID : | 14-0079396 |
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Pascal:14-0079396Le document en format XML
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<front><div type="abstract" xml:lang="en">A platform that connects citizens effectively to local government, letting them contribute to their community's general well-being, would be an elegant way to make cities smarter. CrowdSC is a crowdsourcing framework designed for smarter cities. The framework lets users combine data collection, selection, and assessment activities in a crowdsourcing process to achieve sophisticated goals within a predefined context. Depending upon this process's execution strategy, different outcomes are possible. The authors describe CrowdSC's process model and evaluate three execution strategies.</div>
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