大数据与人工智能驱动下的智慧图书馆与智慧服务发展研究

Research on the Development of Smart Library and Smart Service Driven by Big Data and Artificial Intelligence

摘要: 大数据与人工智能(AI)技术正深刻推动智慧图书馆与智慧服务的变革。本文采用文献分析与实证研究相结合的方法，系统探讨了该领域的理论基础、应用现状及未来趋势。研究构建了包含知识管理、信息生态和用户体验的理论框架，阐明了大数据与AI在资源洞察、服务优化及交互创新中的作用机制。实证部分以某高校图书馆文献共享服务十六年数据为案例，验证了技术应用与服务增长的显著正相关，并修正了传统理论在“长尾资源”和情境调节方面的不足。研究发现：技术集成与平台移动化显著提升了服务效能，但资源建设需兼顾“头部保障”与“长尾可及”；虚拟数字人、沉浸式交互及数据决策支持将成为未来服务新形态。本文提出构建开放协同、安全可控的智慧图书馆生态系统，为行业数字化转型提供理论与实践指导。

Abstract: Big data and artificial intelligence (AI) technology are profoundly promoting the transformation of smart libraries and smart services. This paper uses a combination of literature analysis and empirical research to systematically explore the theoretical basis, application status and future trends in this field. The research constructs a theoretical framework including knowledge management, information ecology and user experience, and clarifies the mechanism of big data and AI in resource insight, service optimization and interactive innovation. The empirical part takes the 16-year data of literature sharing service of a university library as a case to verify the significant positive correlation between technology application and service growth, and corrects the shortcomings of traditional theories in “long tail resources” and situation adjustment. The research finds that technology integration and platform mobility significantly improve service efficiency, but resource construction needs to take into account “head protection” and “long tail accessibility”; virtual digital people, immersive interaction and data decision support will become new forms of service in the future. This paper proposes to build an open, collaborative, safe and controllable smart library ecosystem to provide theoretical and practical guidance for the digital transformation of the industry.