计算机科学 ›› 2010, Vol. 37 ›› Issue (7): 165-168.
• 数据库与数据挖掘 • 上一篇 下一篇
张亮,屈振新,丁菘,唐胜群
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ZHANG Liang,QU Zhen-xin,DING Song,TANG Sheng-qun
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摘要： 提出了新方法WOSR，以对已经被本体概念标注的领域信息资源进行语义检索。WOSR方法首先建立领域本体，再采用均等概率分布方法为概念赋权，然后通过概念的权重求出概念相似度，最后计算用户检索请求和信息资源之间的语义相似度，并根据相似度的大小排序输出检索结果。实验结果表明，WOSR方法比其他经典方法的检索效果更好。
关键词: 语义检索，领域本体，相似度
Abstract: This paper proposed an approach called WOSR for the semantic retrieval of domain resources that have been previously annotated with ontology concepts. Firstly WOSR developed domain ontology and associated weights with concepts through uniform probability distribution. Secondly the similarity between concepts was computed by using their weights. Finally calculated semantic similarities between a user request and the domain resources, and the answer was returned in the form of a ranked list ordered by semantic similarity. Experiments show that WOSR yields a better performance than other classical methods.
Key words: Semantic retrieval, Domain ontology, Similarity
张亮,屈振新,丁菘,唐胜群. 一种基于加权领域本体的语义检索方法[J]. 计算机科学, 2010, 37(7): 165-168. https://doi.org/
ZHANG Liang,QU Zhen-xin,DING Song,TANG Sheng-qun. Semantic Retrieval Based on Weighted Domain Ontology[J]. Computer Science, 2010, 37(7): 165-168. https://doi.org/
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