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Geospatial information integration for authoritative and crowd sourced road vector data / H. Du in Transactions in GIS, vol 16 n° 4 (August 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 4 (August 2012) . - pp 455 - 476 Titre : Geospatial information integration for authoritative and crowd sourced road vector data Type de document : Article/Communication Auteurs : H. Du, Auteur ; Natasha Alechina, Auteur ; G. Hart, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 455 - 476 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] appariement de données localisées [Termes IGN] conflation [Termes IGN] données localisées de référence [Termes IGN] données localisées des bénévoles [Termes IGN] données routières [Termes IGN] données vectorielles [Termes IGN] intégration de données [Termes IGN] ontologie Résumé : (Auteur) This article describes results from a research project undertaken to explore the technical issues associated with integrating unstructured crowd sourced data with authoritative national mapping data. The ultimate objective is to develop methodologies to ensure the feature enrichment of authoritative data, using crowd sourced data. Users increasingly find that they wish to use data from both kinds of geographic data sources. Different techniques and methodologies can be developed to solve this problem. In our previous research, a position map matching algorithm was developed for integrating authoritative and crowd sourced road vector data, and showed promising results (Anand et al. 2010). However, especially when integrating different forms of data at the feature level, these techniques are often time consuming and are more computationally intensive than other techniques available. To tackle these problems, this project aims at developing a methodology for automated conflict resolution, linking and merging of geographical information from disparate authoritative and crowd-sourced data sources. This article describes research undertaken by the authors on the design, implementation, and evaluation of algorithms and procedures for producing a coherent ontology from disparate geospatial data sources. To integrate road vector data from disparate sources, the method presented in this article first converts input data sets to ontologies, and then merges these ontologies into a new ontology. This new ontology is then checked and modified to ensure that it is consistent. The developed methodology can deal with topological and geometry inconsistency and provide more flexibility for geospatial information merging. Numéro de notice : A2012-362 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01303.x Date de publication en ligne : 03/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01303.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31808 [article]