基于知识图谱的高校图书馆学科服务优化策略研究  

Research on subject service optimization strategy of university library based on knowledge graph

作　　者：麻晓杰 MA Xiaojie(Shandong Business Institute,Yantai 264003,China)

机构地区：[1]山东商务职业学院,山东烟台264003

出　　处：《江苏科技信息》2025年第2期75-80,共6页Jiangsu Science and Technology Information

摘　　要：随着知识经济和信息技术的快速发展,高校图书馆在学科服务领域面临前所未有的挑战和机遇。文章在这一背景下,探讨了基于知识图谱的高校图书馆学科服务优化策略。文章首先分析了知识图谱的基本概念和应用现状,随后提出了构建统一的知识图谱平台,提升个性化服务水平,加强知识发现与创新支持以及优化服务效果评估体系等策略。通过这些策略的实施,文章旨在提升高校图书馆学科服务的质量和效率,满足现代高校科研需求的复杂化和多样化。研究结论表明,知识图谱技术在高校图书馆学科服务中的应用,不仅能够提高信息资源整合和检索效率,还能提供个性化服务和促进知识发现与创新研究。未来,随着技术的不断发展和应用的深入,知识图谱将在高校图书馆学科服务中发挥更加重要的作用。With the rapid development of knowledge economy and information technology,university libraries are facing unprecedented challenges and opportunities in the field of subject service.Under this background,this paper discusses the subject service optimization strategy of university library based on knowledge graph.This paper first analyzes the basic concept and application status of knowledge graph,and then puts forward some strategies,such as building a unified knowledge graph platform,improving the level of personalized service,strengthening knowledge discovery and innovation support,and optimizing the service effect evaluation system.Through the implementation of these strategies,the aim is to improve the quality and efficiency of university library subject service and meet the complexity and diversification of modern university scientific research needs.The conclusion shows that the application of knowledge graph technology in the subject service of university library can not only improve the integration and retrieval efficiency of information resources,but also provide personalized service and promote knowledge discovery and innovation research.In the future,with the continuous development and application of technology,knowledge graph will play a more important role in the subject service of university libraries.

关 键 词：知识图谱 高校图书馆 学科服务 优化策略 信息管理 

分 类 号：G258.6[文化科学—图书馆学]