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A crowdsourcing-based game for land cover validation / Maria Antonia Brovelli in Applied geomatics, vol 10 n° 1 (March 2018)  

Public [article]  inApplied geomatics > vol 10 n° 1 (March 2018) . - pp 1 - 11 Titre : A crowdsourcing-based game for land cover validation Type de document : Article/Communication Auteurs : Maria Antonia Brovelli, Auteur ; Irene Celino, Auteur ; Andrea Fiano, Auteur ; Monia Elisa Molinari, Auteur ; Vijaycharan Venkatachalam, Auteur Année de publication : 2018 Article en page(s) : pp 1 - 11 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Italie [Termes IGN] jeu [Termes IGN] occupation du sol [Termes IGN] participation du public [Termes IGN] production participative [Termes IGN] QGIS [Termes IGN] science citoyenne [Termes IGN] validation des données Mots-clés libres : Game With A Purpose Résumé : (Auteur) Land cover datasets are critical environmental information which are becoming increasingly available nowadays as open data. Accuracy of these datasets is key for their use in manifold applications and can be obtained through validation processes, e.g., the intercomparison with other existing land cover data. The results of this procedure usually highlight disagreements between the compared products which should be further analyzed. The presented work has the aim to address this need by proposing an innovative crowdsourcing-based game that engages citizens in validating disagreements between land cover datasets. The game was played during the Free and Open Source Software for Geospatial (FOSS4G) Europe Conference 2015 by the conference participants and allowed to evaluate the disagreements between the GlobeLand30 and the DUSAF land cover datasets on the Como city area (Italy). The results show the feasibility of the proposed approach and the potentiality of gaming in user engagement for land cover validation campaigns. Numéro de notice : A2018-157 Affiliation des auteurs : non IGN Thématique : IMAGERIE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-017-0201-3 Date de publication en ligne : 29/11/2017 En ligne : https://doi.org/10.1007/s12518-017-0201-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89776 [article]

Human computation VGI provenance : Semantic web-based representation and publishing / Irene Celino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5137 - 5144 Titre : Human computation VGI provenance : Semantic web-based representation and publishing Type de document : Article/Communication Auteurs : Irene Celino, Auteur Année de publication : 2013 Article en page(s) : pp 5137 - 5144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données localisées des bénévoles [Termes IGN] qualité des données [Termes IGN] représentation des données [Termes IGN] service web sémantique [Termes IGN] source de données [Termes IGN] web 2.0 [Termes IGN] web sémantique Résumé : (Auteur) The collection of volunteered geographic information (VGI) is a user-generated content practice to engage a large number of citizens to collectively create geospatial data. Based on the advent of Web 2.0 and the recent increasing popularity of crowdsourcing approaches, VGI has gained the interest of the geoscience community, because of its ability to complement the collection of geographic information coming from traditional sensing technologies. However, the involvement of a crowd of volunteers, potentially untrained or nonexperts, implies that VGI can be of varying quality. Tracing VGI provenance enables the recording of the collection activity; the information about who gathered what, where and when can then be employed to judge the VGI quality. In this paper, we focus on the adoption of a provenance-based Human Computation approach to aggregate and consolidate VGI. We discuss the representation, inference and publication of Human Computation VGI and its provenance. As more and more of those community-based data collection efforts happen on the Web, we propose the adoption of Semantic Web technologies, through employing an ontological formulation to capture provenance and by following Linked Data principles to publish provenance data on the Web. Numéro de notice : A2013-614 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2252015 En ligne : https://doi.org/10.1109/TGRS.2013.2252015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32750 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013111	RAB	Revue	Centre de documentation	En réserve L003	Disponible