吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于定性空间推理的中文文本空间关系识别

王生生, 玄雪花   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2015-10-21 出版日期:2016-05-26 发布日期:2016-05-20
  • 通讯作者: 玄雪花 E-mail:xuanxh13@mails.jlu.edu.cn

Recognition of Spatial Relations in Chinese TextBased on Qualitative Spatial Reasoning

WANG Shengsheng, XUAN Xuehua   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2015-10-21 Online:2016-05-26 Published:2016-05-20
  • Contact: XUAN Xuehua E-mail:xuanxh13@mails.jlu.edu.cn

摘要:

基于定性空间推理对空间关系给出一个通用特征集合, 并结合网络爬虫、 文本挖掘、 空间数据库和机器学习方法提出一种针对中文文本的通用空间关系识别框架, 解决了大数据中中文文本的空间关系识别问题. 与传统人工建立的空间关系模型相比, 该方法具有更高的识别率, 适用于处理大数据中中文文本的空间信息.

关键词: 定性空间推理, 空间关系, 通用特征, 机器学习

Abstract:

We gave a general feature set of spatial relations based on qualitative spatial reasoning of spatial relations, and combining with network crawling, text mining, spatial database and machine learning methods, we proposed a general recognizing framework to recognize most of the spatial relations in Chinese text, and solved the problem of spatial relation recognition in Chinese text of big data. Compared with traditional spatial relation models, the proposed method is suitable for dealing with spatial information in Chinese text of big data, and obtains a higher recognition rate.

Key words: qualitative spatial reasoning, spatial relation, general feature, machine learning

中图分类号: 

  • TP311.1