基于语义网技术的高校图书馆个性化知识服务研究

Research on the Individualized Knowledge Service of University Libraries Based on Semantic Web Technology

论文提出了一种基于语义网技术的高校图书馆个性化知识服务。该方法首先通过语义网技术和数据挖掘技术对高校多部门的数据资源进行整合;然后根据用户的相关信息构建出用户的个人兴趣模型;最后使得用户可以快捷、高效、准确地获取资源。

This paper proposes an individualized knowledge service of university libraries based on Semantic Web. Firstly, the digital resources of multiple departments of university will be integrated by the semantic network and data mining technology. Secondly, the user＇s personal interest model will be build based on the user information. Finally, the users can get access to services quickly, efficiently and accurately.