摘要
在文献检索中,概念的语义相似度计算直接影响查准率和查全率指标。将本体描述语言OWL(Web Ontology Language)的属性特征有机结合到语义检索模型中,设计本体内实体间匹配度算法,度量概念的相似度,并对检索指标参数化。设计的原型系统实验表明,通过参数化可以有效调节检索的性能指标,定制用户的检索。
In the documents retrieval, semantic similarity of the concepts directly influences the precision and recall.This paper combines the OWL into the semantic retrieval model,a inter-entity of ontology matching degree algorithm is designed to measure similarity of concepts, and parameterizes retrieval indicators.By parameterization,the experiment results in this paper have proved that this method effectively regulates the precision and recall and customizes user＇s retrieval.
出处
《电子设计工程》
2010年第2期128-129,共2页
Electronic Design Engineering
