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Collaboration on an ontology for generalisation / Nick Gould (2014)    

Public 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] Généralisation Résumé : (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

en open access Collaboration on an Ontology for Generalisation Adobe Acrobat PDF

Generalising unusual map themes from OpenStreetMap / Guillaume Touya (2014)    

Public Titre : Generalising unusual map themes from OpenStreetMap Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Jean-François Girres , 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 : 12 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] algorithme de généralisation [Termes IGN] généralisation automatique de données [Termes IGN] niveau de détail [Termes IGN] OpenStreetMap [Termes IGN] spécification de produit Résumé : (auteur) [introduction] Research on generalisation algorithms mainly focused on the most prominent themes of a topographic map, namely roads, buildings, hydrography, terrain and land use. Now that many efficient algorithms exist for such prominent themes (Stanislawski et al. 2014), minor themes like ditches (Savino et al. 2011) or swamp patches (Anderson - Tarver et al. 2011) gain interest from the research community. In OpenStreetMap (OSM), the loose specifications resulted in a large range of unusual themes, e.g. electric lines (Figure 1c), and generalising maps out of OSM data requires to handle such unusual themes. Moreover, another particularity of OSM is the very high level of detail that can be found for some features, compared to traditional geographical databases, e.g. airports, port sites (Figure 1a) or parks (Figure 1b). The unusual details contained in such areas also require specific algorithms to preserve the structure and the relations between the components. Generalising OSM data is a challenging task (Sester et al. 2014) but this paper only focuses on the generalisation of those map themes or areas exhibited in OSM. Numéro de notice : C2014-012 Affiliation des auteurs : LASTIG COGIT (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=78514

Documents numériques

en open access Generalising unusual map themes from OpenStreetMap Adobe Acrobat PDF

Making a map from “thematically multi-sourced data”: the potential of making inter-layers spatial relations explicit / Cécile Duchêne (2014)  

Public Titre : Making a map from “thematically multi-sourced data”: the potential of making inter-layers spatial relations explicit Type de document : Article/Communication Auteurs : Cécile Duchêne , 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 : 8 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] carte de base [Termes IGN] carte thématique [Termes IGN] conflation [Termes IGN] couche thématique [Termes IGN] fond cartographique [Termes IGN] relation spatiale Résumé : (auteur) [introduction] One kind of map commonly produced from the always increasing volume of available data is made of “base” data acting as a backdrop map used for localisation purpose, on which data related to a particular theme, of interest for the user, are overlaid (Jaara et al. 2011; Moseme and van Elzakker 2012). In the rest of the paper, we call “data layer” a dataset stemming from one source (authoritative or VGI), here considered internally consistent – i.e. reliability and redundancy issues underlined by Sester et al. (2014) in the case of VGI data have been handled before. We call maps composed of several data layers (each stemming from one source), thematically multi-sourced maps. Here, we consider maps composed of two data layers: one base layer and one thematic layer. Most thematic maps have been based on this two layers principle for decades (and were multi-sourced), but they have long been made mainly by cartographic experts (Das et al. 2012). Recently, making and publishing such maps has become much easier. Their potential is huge for the users, however, the risk is huge to produce maps that are hardly legible or interpretable and can lead to bad decision making (Jaara et al. 2011; Das et al 2012; Gaffuri 2011; Balley et al. 2014; Sester et al. 2014). [...] Numéro de notice : C2014-018 Affiliation des auteurs : LASTIG COGIT (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=78543