摘要
本体映射能很好地解决语义网中的本体异构性问题,其核心在于计算本体概念的相似度。针对现有的概念相似度计算的精度和查准率不高,提出一种改进的概念相似度计算模型。首先利用本体特征之间的偏序关系建立形式背景和概念格,然后在结构层次求出概念间的交不可约元集,并通过对集合里各元素的语义关系进行量化计算出概念间的相似度。实例和分析结果表明,改进的概念相似度计算模型在F-Score上有明显提高。
Ontology alignment is a good solution to the problem of ontology heterogeneity in semantic Web, and its core is to calculate the similarity of ontology concepts. Given that the accuracy and precision of the existing similarity computation methods are not high, an improved model for similarity computation of ontology concept was proposed. First, this paper established a formal context and its corresponding concept lattice by using the partial order relation between ontology features, then obtained the meet-irreducible elements between concepts in structural level, and calculated similarity of concepts through quantified semantic relationships of the elements in the set. The case study and analytical results show that the improved model gets higher F-Score than other methods.
出处
《计算机应用》
CSCD
北大核心
2013年第6期1579-1581,1586,共4页
journal of Computer Applications
基金
计算机软件新技术国家重点实验室开放课题(KFKT2010B02)
安徽省高校省级自然科学研究重点项目(KJ2011A48)
关键词
语义网
本体映射
概念相似度
概念格
semantic Web
ontology alignment
concept similarity
concept lattice
