The map as a tool for accessing data has become very popular in recent years, but a lot of data does not have the necessary spatial meta-data to allow for that. Some data such as photographs however have spatial information in their captions and if this could be extracted, then they could be made available via map-based interfaces. Towards this goal we introduce a model and spatio-linguistic reasoner for interpreting the spatial information in image captions that is based upon quantitative data about spatial language use acquired directly from people. Spatial language is inherently vague and both the model and reasoner have been designed to incorporate this vagueness at the quantitative level and not only qualitatively.
- spatial language vagueness natural language processing spatial reasoning field-based modelling geographic information retrieval