Hall, Mark and Jones, Christopher Bernard ![]() |
Official URL: http://www.sfbtr8.spatial-cognition.de/SpatialLREC...
Abstract
Natural language is one of the primary means of communicating spatial information, but existing geographic information retrieval (GIR) facilities are weak in this respect. One of the major challenges in automated interpetation of spatial natural language is how to model the regions implied by spatial expressions. This paper presents a field-based model for representing the vague regions defined by spatial language, including a method for defining field values from existing spatial language data sources. To interface this new vague field model with existing GIR systems and methods, an algorithm for extracting crisp boundaries from the field representation is also presented.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Related URLs: | |
Last Modified: | 19 Oct 2022 09:11 |
URI: | https://orca.cardiff.ac.uk/id/eprint/20197 |
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