Centre de documentation
scientifique

Methods for improving and updating the knowledge of a generalization system / Anne Ruas (2006)    

Public contenu dans AutoCarto 2006, Vancouver, Washington, Volume 2. Papers / Cartography and geographic information society (2006)   Titre : Methods for improving and updating the knowledge of a generalization system Type de document : Article/Communication Auteurs : Anne Ruas , Auteur ; Aurélie Dyèvre, Auteur ; Cécile Duchêne , Auteur ; Patrick Taillandier , Auteur Editeur : Cartography and Geographic Information Society Année de publication : 2006 Conférence : Auto-Carto 2006, international symposium on cartography and computing 26/06/2006 28/06/2006 Vancouver Colombie britannique - Canada OA Proceedings Importance : 11 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agent (intelligence artificielle) [Termes IGN] apprentissage dirigé [Termes IGN] base de connaissances [Termes IGN] base de règles [Termes IGN] bati [Termes IGN] généralisation cartographique automatisée [Vedettes matières IGN] Généralisation Résumé : (Auteur) In this paper we present a method to improve and to update the knowledge used for the automation of the generalization of buildings based on agent paradigm. We propose to store 1/ each building decision, 2/ the reason why the decision was taken (the conflicts) 3/ the result of each algorithm (an improvement or not) and 4/ the successful process chain within all trials. At the end, the processes of all buildings are compared in order to identify the weakness (for example the case where a specific algorithm is often used but never succeeds). When a deficiency is identified we introduce new rules and we study the effect of this change on the efficiency of the process. It can be used either to improve existing knowledge or to introduce new rules associate to the use of a new measure or a new algorithm. The first study has been made on building independent generalization to set the learning methodology. We wish now to apply it on more complex cases such as contextual generalization which still needs knowledge improvement. Numéro de notice : 14347 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : sans En ligne : https://cartogis.org/docs/proceedings/2006/ruas_dyevre_duchene_taillandier.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64342

Documents numériques

en open access 14347_auto-carto_2006_ruas_dyevre_duchene_taillandier.pdf Adobe Acrobat PDF