摘要
在基于距离的语义相似度计算方法的基础上,综合多种因素对相似度的影响,提出一种新的相似度和相关度计算方法。将其应用到教学资源领域本体,计算本体概念间的相似度和相关度。实验结果显示该算法可以提高传统基于距离的相似度算法的性能。最后比较了利用该算法的语义查询与传统关键字查询的结果。
A new method of similarity and correlation calculation is put forward over the algorithm of semantic similarity based on distance,integrating various factors which influences the similarity. Then the algorithm is applied to the ontology of teaching resources field to calculate the similarity and correlation between ontology concepts. The experimental results show that the algorithm is capable of improving the performance of traditional similarity algorithm based on distance. By the end,the result of semantic query using the proposed algorithm and the traditional keyword query is compared.
出处
《计算机应用与软件》
CSCD
2016年第10期275-278,共4页
Computer Applications and Software
基金
辽宁省普通高等学校本科教育科学改革研究项目(UPRP20140914)
辽宁省教育科学"十二五"规划立项课题(JG13DB077)
关键词
语义相似度
语义相关度
教学资源领域
本体
Semantic similarity
Semantic correlation
Teaching resources field
Ontology
