Abstract: A method for new term expansion based on domain ontology is proposed. This method combines linguistic rules and statistical methods to get the infection degree from a word to a document. It optimizes the term candidate result, uses domain ontology to recognize concept in document and to calculate correlation degree between word, document and specific domain. The validity of the method is proved with a practical case.

Key words: domain ontology, domain correlation degree, new term expansion

摘要： 提出一种基于领域本体的新术语扩充方法。结合传统基于统计和基于规则的方法，计算词语在文档中的影响程度，使用领域本体体现领域知识，通过在文档中识别出本体中概念计算文档及词语的领域相关度，获得术语候选项的推荐排序，对术语候选项结果进行优化。实验结果证明了该方法的有效性和可行性。

关键词: 领域本体, 领域相关度, 新术语扩充

CLC Number: 

• TP311