Centre de documentation
scientifique

An ontology-driven multi-agent system for nautical chart generalization / Jingya Yan in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 201 - 215 Titre : An ontology-driven multi-agent system for nautical chart generalization Type de document : Article/Communication Auteurs : Jingya Yan, Auteur ; Eric Guilbert, Auteur ; Eric Saux, Auteur Année de publication : 2017 Article en page(s) : pp 201 - 215 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte marine [Termes IGN] généralisation cartographique [Termes IGN] ontologie [Termes IGN] processus cartographique [Termes IGN] système multi-agents [Vedettes matières IGN] Généralisation Résumé : (auteur) On nautical charts, undersea features are portrayed by sets of soundings (depth points) and isobaths (depth contours) from which map readers can interpret undersea features. Different techniques were developed for automatic sounding selection and isobath generalization. These methods are mainly used to generate a new chart from the bathymetric database or from a larger scale chart through selection and simplification. However, a part of the process consists in selecting and emphasizing undersea features formed by groups of soundings and isobaths on the chart according to their relevance to maritime navigation. Hence, automation of the process requires classification of features and their generalization through the application of a set of operators according not only to geometric constraints but also to their meaning. The objective of this work is to conceive a multi-agent system (MAS) for nautical chart generalization that is driven by the knowledge on the generalization process and the undersea features and their relationships. First, this work provides a feature-centered ontology modeling of the generalization process. Then, the MAS structure is introduced where agents access cartographic knowledge stored in the ontology. The MAS makes use of measure algorithms to evaluate constraint violations on the chart in order to decide which generalization operators to apply. The whole model has been implemented to provide generalization plans on a real case study. Numéro de notice : A2017-207 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1129648 En ligne : http://dx.doi.org/10.1080/15230406.2015.1129648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85042 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible