面向文本的领域本体学习方法与应用研究综述

Methods and Applications Studies on Ontology Learning for Text

根据本体构成的要素———概念、概念间关系、公理,结合文本的非结构化特点,总结梳理当前从文本中自动获取领域本体概念及概念间关系的主要方法的思路、特征和适用范围,并运用两个实例解析面向文本的领域本体学习的具体步骤和实现过程。最后讨论存在的主要问题和进一步的研究方向。

In this paper, the main ideas and characteristics of the major methods are presented on how to get concepts and relations automatically from text according to the key factors of Ontology-concept, relation, and axiom. Then two examples are followed which show the process of building a domain ontology for text. At last, recent problems and the road ahead are discussed.