摘要
现有语义相似度计算方法没有充分利用本体中的语义信息,且计算方法复杂。为此,提出一种基于概念特征的语义相似度计算方法。根据概念在本体中的层次结构来确定特征集合,引入宽度影响因子,给每个特征赋予不同的权值,通过计算2个概念特征集合间的相似度得到概念的相似度,引入深度影响因子,将相似度公式表示成更直观的形式。实验结果表明,该方法计算简便,且比较接近人类主观的判断值。
Due to the shortcomings of current semantic similarity metric not fully using the semantic information of ontology and its complex computation,this paper proposes a new semantic similarity metric calculation method based on the feature of concept,which makes full use of the information of ontology structure.It expresses each concept as a set of features according to the hierarchy of ontology,and introduces a width influencing factor as the coefficient of each feature.It obtains the semantic similarity through calculating the similarity between two sets.It introduces a depth influencing factor,and amends the semantic metric to a more understandable form.Theoretical analysis and experimental results show that the metric is simple,and the results are close to human judgment.
出处
《计算机工程》
CAS
CSCD
2012年第5期170-172,175,共4页
Computer Engineering
基金
国家自然科学基金资助项目(60970096)
中南大学研究生重点课程建设基金资助项目(1960-71131430019)
关键词
语义WEB
本体
概念特征
特征属性
语义相似度
semantic Web
ontology
concept feature
feature attribute
semantic similarity
