摘要
在本体基础上通过语义相似度和相关度的计算,利用语义推理将描述的隐含语义显式化,以充分挖掘出与检索内容相关的信息,实现相关信息的语义融合,提高查准率和查全率。研究基于本体的语义相似度和相关度的计算方法,并通过该语义检索方法的实现,证明该方法在语义检索系统开发中的可行性。
Through computing the similarity and relevancy based on Ontology, the author uses semantic reasoning to make connotative semantics clear in order to mine fully the information correlative with the search content. This paper implements the relevant information＇ s semantic fusion and improves the precision and recall. The method of computing semantic similarity and relevancy based on Ontology is studied and is proved feasible by implementing the semantic search method.
出处
《现代图书情报技术》
CSSCI
北大核心
2008年第4期39-43,共5页
New Technology of Library and Information Service
关键词
本体
语义检索
语义相似度
语义相关度
Ontology Semantic search Semantic similarity Semantic relevancy
