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OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project / Amin Mobasheri in Geo-spatial Information Science, vol 21 n° 3 (October 2018)  

Public [article]  inGeo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 234 - 246 Titre : OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project Type de document : Article/Communication Auteurs : Amin Mobasheri, Auteur ; Alexander Zipf, Auteur ; Louise Francis, Auteur Année de publication : 2018 Article en page(s) : pp 234 - 246 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] accessibilité [Termes IGN] données localisées des bénévoles [Termes IGN] enrichissement sémantique [Termes IGN] Europe (géographie politique) [Termes IGN] exhaustivité des données [Termes IGN] handicap [Termes IGN] OpenStreetMap [Termes IGN] qualité des données [Termes IGN] segmentation sémantique [Termes IGN] ville Résumé : (Auteur) Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access is one of the successful examples of such international-wide research projects that aims to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap (OSM) is used to extend OpenRouteService, a well-known routing platform. However, a basic challenge that this project tackled was the incompleteness of OSM data with regards to certain information that is required for wheelchair accessibility (e.g. sidewalk information, kerb data, etc.). In this article, we present the results of initial assessment of sidewalk data in OSM at the beginning of the project as well as our approach in awareness raising and using tools for tagging accessibility data into OSM database for enriching the sidewalk data completeness. Several experiments have been carried out in different European cities, and discussion on the results of the experiments as well as the lessons learned are provided. The lessons learned provide recommendations that help in organizing better mapping party events in the future. We conclude by reporting on how and to what extent the OSM sidewalk data completeness in these study areas have benefited from the mapping parties by the end of the project. Numéro de notice : A2018-645 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2018.1493817 Date de publication en ligne : 21/09/2018 En ligne : https://doi.org/10.1080/10095020.2018.1493817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93315 [article]

A grounding-based ontology of data quality measures / Franz-Benjamin Mocnik in Journal of Spatial Information Science (JoSIS), n° 16 ([01/02/2018])  

Public [article]  inJournal of Spatial Information Science (JoSIS) > n° 16 [01/02/2018] . - pp 1 - 25 Titre : A grounding-based ontology of data quality measures Type de document : Article/Communication Auteurs : Franz-Benjamin Mocnik, Auteur ; Amin Mobasheri, Auteur ; Luisa Griesbaum, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 1 - 25 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] mesure de la qualité [Termes IGN] OpenStreetMap [Termes IGN] qualité des données Résumé : (auteur) Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature. Numéro de notice : A2018-683 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5311/JOSIS.2018.16.36 En ligne : https://josis.org/index.php/josis/article/view/86 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98693 [article]

A review of volunteered geographic information quality assessment methods / Hansi Senaratne in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 1-2 (January - February 2017) . - pp 139 - 167 Titre : A review of volunteered geographic information quality assessment methods Type de document : Article/Communication Auteurs : Hansi Senaratne, Auteur ; Amin Mobasheri, Auteur ; Ahmed Loai Ali, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 139 - 167 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] acquisition de données [Termes IGN] données localisées des bénévoles [Termes IGN] exploration de données géographiques [Termes IGN] qualité des données Résumé : (auteur) With the ubiquity of advanced web technologies and location-sensing hand held devices, citizens regardless of their knowledge or expertise, are able to produce spatial information. This phenomenon is known as volunteered geographic information (VGI). During the past decade VGI has been used as a data source supporting a wide range of services, such as environmental monitoring, events reporting, human movement analysis, disaster management, etc. However, these volunteer-contributed data also come with varying quality. Reasons for this are: data is produced by heterogeneous contributors, using various technologies and tools, having different level of details and precision, serving heterogeneous purposes, and a lack of gatekeepers. Crowd-sourcing, social, and geographic approaches have been proposed and later followed to develop appropriate methods to assess the quality measures and indicators of VGI. In this article, we review various quality measures and indicators for selected types of VGI and existing quality assessment methods. As an outcome, the article presents a classification of VGI with current methods utilized to assess the quality of selected types of VGI. Through these findings, we introduce data mining as an additional approach for quality handling in VGI. Numéro de notice : A2017-030 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1189556 En ligne : http://dx.doi.org/10.1080/13658816.2016.1189556 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84023 [article]

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