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Auteur Glen Hart |
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A method for matching crowd-sourced and authoritative geospatial data / Heshan Du in Transactions in GIS, vol 21 n° 2 (April 2017)
[article]
Titre : A method for matching crowd-sourced and authoritative geospatial data Type de document : Article/Communication Auteurs : Heshan Du, Auteur ; Natasha Alechina, Auteur ; Michael Jackson, Auteur ; Glen Hart, Auteur Année de publication : 2017 Article en page(s) : pp 406 – 427 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement automatique
[Termes IGN] appariement de données localisées
[Termes IGN] données ouvertes
[Termes IGN] France (administrative)
[Termes IGN] géomatique web
[Termes IGN] Grande-Bretagne
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] OpenStreetMap
[Termes IGN] organisme cartographique nationalRésumé : (auteur) A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 m. The generated matches show potential in helping enrich and update geospatial data. Numéro de notice : A2017-168 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12210 En ligne : http://dx.doi.org/10.1111/tgis.12210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84702
in Transactions in GIS > vol 21 n° 2 (April 2017) . - pp 406 – 427[article]The scale of VGI in map production: A perspective on European national mapping agencies / Ana-Maria Olteanu-Raimond in Transactions in GIS, vol 21 n° 1 (February 2017)
[article]
Titre : The scale of VGI in map production: A perspective on European national mapping agencies Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Glen Hart, Auteur ; Giles M. Foody, Auteur ; Guillaume Touya , Auteur ; et al., Auteur Année de publication : 2017 Projets : 3-projet - voir note / Article en page(s) : pp 74 – 90 Note générale : bibliographie
This study was supported by the COST Action TD1202 Mapping and the Citizen Sensor funded by the European Union Seventh Framework Programme and the European Science Foundation.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] complètement
[Termes IGN] données localisées des bénévoles
[Termes IGN] mise à jour
[Termes IGN] organisme cartographique national
[Termes IGN] qualité des donnéesRésumé : (auteur) The perspective of European National Mapping Agencies (NMA) on the role of citizen sensing in map production was explored. The NMAs varied greatly in their engagement with the community generating volunteered geographic information (VGI) and in their future plans. From an assessment of NMA standard practices, it was evident that much VGI was acquired with a positional accuracy that, while less than that typically acquired by NMAs, actually exceeded the requirements of the nominal data capture scale used by most NMAs. Opportunities for VGI use in map revision and updating were evident, especially for agencies that use a continuous rather than cyclical updating policy. Some NMAs had also developed systems to engage with citizen sensors and examples are discussed. Only rarely was VGI used to collect data on features beyond the standard set used by the NMAs. The potential role of citizen sensing and so its current scale of use by NMAs is limited by a series of concerns, notably relating to issues of data quality, the nature and motivation of the contributors, legal issues, the sustainability of data source, and employment fears of NMA staff. Possible priorities for future research and development are identified to help ensure that the potential of VGI in mapping is realized. Numéro de notice : A2017-161 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Autre URL associée : vers HAL ouvert Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12189 Date de publication en ligne : 25/06/2016 En ligne : http://dx.doi.org/10.1111/tgis.12189 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84685
in Transactions in GIS > vol 21 n° 1 (February 2017) . - pp 74 – 90[article]
Titre : Linked Data : A Geographic Perspective Type de document : Monographie Auteurs : Glen Hart, Auteur ; Catherine Dolbear, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2016 Importance : 289 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-429-10997-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] information géographique numérique
[Termes IGN] ontologie
[Termes IGN] OWL
[Termes IGN] RDF
[Termes IGN] SPARQL
[Termes IGN] système d'information géographique
[Termes IGN] web des données
[Termes IGN] web sémantiqueRésumé : (éditeur) Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web. Note de contenu : 1- A gentle beginning
2- Linked data and the semantic web
3- Geographic information
4- Geographic information in an open world
5- The resource description framework
6- Organizing GI as linked data
7- Publishing linked data
8- Using linked data
9- Owl
10- Building geographic ontologies
11- Linking it all togetherNuméro de notice : 25940 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie En ligne : https://doi.org/10.1201/b13877 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96312
Titre : Collaboration on an ontology for generalisation Type de document : Article/Communication Auteurs : Nick Gould, Auteur ; William A Mackaness, Auteur ; Guillaume Touya , Auteur ; Glen Hart, Auteur Editeur : ICA Commission on Generalisation and Multiple Representation Année de publication : 2014 Conférence : ICA 2014, 17th workshop on Generalisation and Multiple Representation 22/09/2014 26/09/2014 Vienne Autriche Open access proceedings Importance : 9 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] base de connaissances
[Termes IGN] cartographie collaborative
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] ontologie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) To move beyond the current plateau in automated cartography, we need greater sophistication in the process of selecting generalisation algorithms. This is particularly so in the context of machine comprehension. We also need to build on existing algorithm development instead of duplication. More broadly, we need to model the geographical context that drives the selection, sequencing and degree of application of generalisation algorithms. We argue that a collaborative effort is required to create and share an ontology for cartographic generalisation focused on supporting the algorithm selection process. The benefits of developing a collective ontology will be the increased sharing of algorithms and support for on-demand mapping and generalisation web services. Numéro de notice : C2014-011 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://generalisation.icaci.org/index.php/prevevents/11-previous-events-details/ [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78486 Documents numériques
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Collaboration on an Ontology for GeneralisationAdobe Acrobat PDF