Centre de documentation
scientifique

Synchronising geometric representations for map mashups using relative positioning and Linked Data / Weiming Huang in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 5-6 (May - June 2018) . - pp 1117 - 1137 Titre : Synchronising geometric representations for map mashups using relative positioning and Linked Data Type de document : Article/Communication Auteurs : Weiming Huang, Auteur ; Ali Mansourian, Auteur ; Ehsan Abdolmajidi, Auteur ; Haiqi Xu, Auteur ; Lars Harrie, Auteur Année de publication : 2018 Article en page(s) : pp 1117 - 1137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] application composite [Termes IGN] géovisualisation [Termes IGN] modèle conceptuel de données localisées [Termes IGN] positionnement différentiel [Termes IGN] représentation multiple [Termes IGN] SPARQL [Termes IGN] synchronisation [Termes IGN] web des données Résumé : (Auteur) Map mashups, as a common way of presenting geospatial information on the Web, are generally created by spatially overlaying thematic information on top of various base maps. This simple overlay approach often raises geometric deficiencies due to geometric uncertainties in the data. This issue is particularly apparent in a multi-scale context because the thematic data seldom have synchronised level of detail with the base map. In this study, we propose, develop, implement and evaluate a relative positioning approach based on shared geometries and relative coordinates to synchronise geometric representations for map mashups through several scales. To realise the relative positioning between datasets, we adopt a Linked Data–based technical framework in which the data are organised according to ontologies that are designed based on the GeoSPARQL vocabulary. A prototype system is developed to demonstrate the feasibility and usability of the relative positioning approach. The results show that the approach synchronises and integrates the geometries of thematic data and the base map effectively, and the thematic data are automatically tailored for multi-scale visualisation. The proposed framework can be used as a new way of modelling geospatial data on the Web, with merits in terms of both data visualisation and querying. Numéro de notice : A2018-201 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1441416 Date de publication en ligne : 01/03/2018 En ligne : https://doi.org/10.1080/13658816.2018.1441416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89870 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2018031	RAB	Revue	Centre de documentation	En réserve L003	Disponible