Discovering types of spatial relations with a text mining approach
Knowledge discovery from texts, particularly the identification of spatial information is a difficult task due to the complexity of texts written in natural language. Here we propose a method combining two statistical approaches (lexical and contextual analysis) and a text mining approach to automatically identify types of spatial relations. Experiments conducted on an English corpus are presented.
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
Springer International Publishing
|
| Subjects: | C30 - Documentation et information, U10 - Informatique, mathématiques et statistiques, |
| Online Access: | http://agritrop.cirad.fr/579646/ http://agritrop.cirad.fr/579646/1/conf_ISMIS15.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|