摘要
论文从高校图书馆读者借阅记录出发,分析读者的借阅行为,获取读者的阅读偏好值,用于构建读者偏好的本体模型。通过制定本体推理规则,完善已建立的本体模型。通过程序脚本将SPARQL书目查询结果推荐给读者,从而实现图书馆的个性化推荐服务。
This paper utilizes ontology technology and its application in analysis of reader borrowing behaviors and the reader＇s reading preference for constructing reader＇s preference ontology model, as well as using ontology reasoning rules to realize the dynamic renewal of the Ontology model, and pushing SPARQL query results to readers by using the script program.
出处
《新世纪图书馆》
CSSCI
2017年第9期48-51,71,共5页
New Century Library
关键词
本体
个性化推荐
读者偏好
Ontology
Personalized recommendation
Reader preference
