Classifying Ambiguities in a Visual Spatial Language
Geoinformatica
An advanced pictorial query language to query urban and rural data on GIS
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
Classifying and resolving ambiguities in sketch-based interaction
International Journal of Virtual Technology and Multimedia
GeoPQL: a geographical pictorial query language that resolves ambiguities in query interpretation
Journal on Data Semantics III
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In visual query languages, especially in Geographic Information Systems (GIS), a query can lead to multiple interpretations for the system and for the user. An origin is that a unique working space is used to express different kinds of information. Another origin is that the user gives his own semantics to information. Ambiguities represent a big challenge in visual query languages because they are found at different levels and sublevels. Ambiguities depend on the action and on the interpretation of the user and on the representation of the system. We propose a taxonomy of ambiguities in visual GIS query languages in order to determine which case of ambiguity is met and at which level. We also propose different solutions to resolve the ambiguities we detected. A model has been made to solve a particular case of ambiguity in the Lvis [3] visual language. This model shows that the number of semantics in a spatial ambiguity can be very high. An extension of Lvis is currently implemented to test some resolution ways.