Abstract: Based on the deficiency of traditional evidence analysis tools and the concept of fuzzy ontology, this paper presents a novel evidence analysis method. In this method, concept mapping and similarity calculating are made based on the membership degree concept of fuzzy ontology, which makes it possible to analyze documents on concept level. The experiments are carried out to test its performance, and the result shows its efficiency.

Key words: information retrieval, evidence analysis, ontology, fuzzy ontology

摘要： 在研究传统证据分析工具不足的基础上，结合模糊本体概念，提出一种基于模糊本体的证据分析方法。该方法利用模糊本体中的隶属度概念，对查询语句和文档关键词向量空间模型进行模糊本体概念映射及概念相似度计算。通过数值实验对该方法进行性能分析。实验证明了该方法的有效性。

关键词: 信息检索, 证据分析, 本体, 模糊本体

CLC Number: 

• N945