从自然语言文本中识别空间数据以实现可视化

Boris M. Pileckiy
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引用次数: 0

摘要

本文描述了从自然语言文本中识别空间数据的一种可能的实现方案。建议的选项基于文本的词典句法分析,这需要使用特殊的语法和字典。空间数据识别用于后续的地理编码和可视化。空间数据识别的实际实现是使用一个免费的、免费分发的软件工具完成的。同时,在工作中考虑了空间数据的一些应用,并给出了空间数据识别的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of spatial data from natural language texts for the purpose of visualization
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.
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