Self-organization of Domain Ontology Concept Hyponymy

被引：0

作者：

Guo, Jian-yi ^{[1
]}

Mo, Yuan-yuan ^{[1
]}

Yu, Zheng-tao ^{[1
]}

Luo, Lin ^{[1
]}

Xian, Yan-tuan ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Sch Informat Engn & Automat, Kunming 650051, Peoples R China

来源：

INTERNATIONAL SYMPOSIUM ON FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION (FSKDNC 2014) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a method of domain ontology concept hyponymy self-organization, which is able to automatically extract and organize the concepts hyponymy out of web pages. First, the corpus specific to the web pages in the field of tourisms is processed in order to retrieve text data, the text concept similarity of which was calculated by concept instances mapping. Second, the concept hyponymy model is trained by the discrete concept hyponymy extracted with the feature template. The model is represented in web ontology language (OWL), i.e., described by the relationship between classes. Finally the trunk of the ontology model is created. Through the closed and open tests on about 20,000 web pages in the field of tourism from the Internet, the method has achieved remarkable results.

引用

页码：49 / 58

页数：10

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