摘要
在本体概念相似度计算过程中,关于本体概念间非ISA关系的处理方法较少。针对本体中存在非ISA概念关系的情况,总结了一些传统的概念相似度计算方法,提出了一种新的适应于非ISA概念关系的相似度计算方法。此方法利用Tversky模型计算本体有向无环概念图的信息量覆盖程度,并结合语义距离方法,再进行权值求和。实验表明,提出的方法可以有效地度量ISA关系,对非ISA关系具有适用性。
In the process of ontology concept similarity computation,there is few about the approaches of dealing with non-isa concept relation.Considering the existence of non-isa concept relation in ontology,summarize some traditional approaches of concept similarity computation,proposed a novel approach which adapts the non-isa relation.Compute the overlay-grade of ontology directed acycline concept graph information content based on tversky model,and combined the semantic distance approach,then sumed the weighted value.Experimental results show that our approach is effectively for isa concept relation and applicable for non-isa concept relation.
出处
《计算机科学》
CSCD
北大核心
2011年第7期250-254,共5页
Computer Science
基金
国家重点实验室创新基金课题(9140C8301011001)资助
关键词
非ISA概念关系
本体概念相似度
信息量
概念图
NON-ISA concept relation
Ontology concept similarity
Information content
Concept graph
