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Auteur C. Carpentier |
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Classifying ambiguities in a visual spatial language / C. Carpentier in Geoinformatica, vol 6 n° 3 (September - November 2002)
[article]
Titre : Classifying ambiguities in a visual spatial language Type de document : Article/Communication Auteurs : C. Carpentier, Auteur ; Michel Mainguenaud, Auteur Année de publication : 2002 Article en page(s) : pp 285 - 316 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] interprétation automatique
[Termes IGN] langage de modélisation
[Termes IGN] langage visuel
[Termes IGN] requête spatiale
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Geographic information systems (GIS) manage geographical data and present the results visually using maps. Visual languages are well adapted to query such data. We propose to express queries sent to a GIS using symbolic maps with metaphors. i.e., visual representation of the spatial relationships making up the query. Visual languages suffer from the appearance of ambiguity. We distinguish visual ambiguities from selection ambiguities. Visual ambiguities appear when a given visual representation of a query corresponds with several interpretations. In order to define new spatial relationship, the user points out one (or several) metaphor(s) already available in the restitution space. Selection ambiguities appear when a given selection corresponds with several metaphors. We suggest palliating visual and selection ambiguities by associating a placing method with composition automata. The placing method insures to minimize level of ambiguity. We determine levels of ambiguity and user interaction complexity depending on the required expressive power. The higher the desired expressive power is, the higher the level of ambiguity is and thus the more complex the user interaction is. A prototype has been implemented to validate the placing method and the automaton allowing the highest expressive power. Numéro de notice : A2002-206 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1023/A:1019770003896 En ligne : https://doi.org/10.1023/A:1019770003896 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22121
in Geoinformatica > vol 6 n° 3 (September - November 2002) . - pp 285 - 316[article]Exemplaires(1)
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