摘要
随着信息技术的快速发展,智慧图书馆作为一种新型的信息服务体系,正在逐渐替代传统图书馆。针对传统图书馆在知识资源整合与服务个性化方面存在的不足,文中提出了一种基于语义网和大数据分析的知识资源数据建设路径。首先,通过高精度的文献数字化处理,将非结构化数据转化为结构化数据;其次,利用语义网技术来提高知识资源的关联度和检索效率;最后,通过大数据技术分析用户行为,实现个性化推荐。实验结果表明,该建设路径显著提升了图书馆资源的使用效率和用户满意度,有效解决了资源整合不足和服务个性化问题。
With the rapid development of information technology,smart libraries,as a new type of information service system,are gradually replacing traditional libraries.Aiming at the shortcomings of traditional libraries in the integration of knowledge resources and service personalization,this paper proposes a knowledge resource data establishment path based on semantic web and big data analytics.First,through high-precision document digitization processing,unstructured data is converted into structured data;secondly,semantic web technology is used to improve the relevance and retrieval efficiency of knowledge resources;finally,user behavior is analyzed through big data technology to realize personalized recommendation.Experimental results show that this construction path significantly improves the efficiency of library resources and user satisfaction,and effectively solves the problems of insufficient resource integration and service personalization.
作者
何骥
HE Ji(Shaanxi Provincial Library(Shaanxi Ancient Books Protection Center),Xi'an 710061,China)
出处
《移动信息》
2024年第11期281-283,共3页
Mobile Information
关键词
语义网技术
文献数字化
大数据分析
Semantic Web technology
Document digitization
Big data analysis