z-logo
open-access-imgOpen Access
Recognition of spatial data from natural language texts for the purpose of visualization
Author(s) -
Boris M. Pileckiy,
AUTHOR_ID
Publication year - 2021
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2021.5.12.004
Subject(s) - computer science , geocoding , visualization , spatial analysis , natural language , natural language processing , artificial intelligence , information retrieval , cartography , remote sensing , geography , geology
This paper describes one of the possible implementation options for the recognition of spatial data from natural language texts. The proposed option is based on the lexico-syntactic analysis of texts, which requires the use of special grammars and dictionaries. Spatial data recognition is carried out for their subsequent geocoding and visualization. The practical implementation of spatial data recognition is done using a free, freely distributed software tool. Also, some applications of spatial data are considered in the work and preliminary results of spatial data recognition are given.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here