Research on spatial conceptual model based on natural language processing

被引：0

作者：

Xiaobo L. ^{[1
]}

机构：

[1] School of Information Science and Technology, Nanjing Xiaozhuang University, Nanjing

来源：

Xiaobo, Liu (4487758@qq.com) | 2016年 / UK Simulation Society, Clifton Lane, Nottingham, NG11 8NS, United Kingdom卷 / 17期

关键词：

Conceptual model; Information extraction; Natural language; Ontology; Spatial relationships;

D O I：

10.5013/IJSSST.a.17.39.14

中图分类号：

学科分类号：

摘要：

The article studied spatial ontology library construction technology based on ontology and theory of machine learning. Specific content contained an instance method of merging ontology of space-based semi-automatic spatial relation extraction method, spatial ontology library based on linear classifier, method of object space based on genetic algorithm. On the basis of these studies, the article constructed a small space-based ontology modeling of natural language spatial concept prototype and gave visual evaluation system based on t test. The article also verified the validity of conceptual modeling based on natural language. © 2016, UK Simulation Society. All rights reserved.

引用

页码：14.1 / 14.4

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