研究论文

智能体在智慧图书馆中的应用:特征能力、体系框架与构建路径

  • 储节旺 ,
  • 樊鑫鑫
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  • 安徽大学管理学院 合肥 230601
储节旺,图书馆馆长,教授,博士,博士生导师;樊鑫鑫,硕士研究生,通信作者,E-mail:xinxin20010804@163.com。

收稿日期: 2024-09-18

  修回日期: 2024-12-21

  网络出版日期: 2025-07-14

基金资助

本文系国家社会科学基金一般项目“数智创新生态系统知识生成动力、扩散逻辑与治理机制研究”(项目编号:23BTQ055)研究成果之一。

Application of Agents in Smart Libraries: Feature Capabilities, System Framework, and Development Path

  • Chu Jiewang ,
  • Fan Xinxin
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  • Management School of Anhui University, Hefei 230601
Chu Jiewang, library director, professor, PhD, doctoral supervisor; Fan Xinxin, master candidate, corresponding author, E-mail: xinxin20010804@163.com.

Received date: 2024-09-18

  Revised date: 2024-12-21

  Online published: 2025-07-14

Supported by

This work is supported by the National Social Science ’Fund of China project titled “Research on Knowledge Generation Power, Diffusion Logic and Governance Mechanism of Digital Intelligence Innovation Ecosystem” (Grant No. 23BTQ055).

摘要

[目的/意义] 随着信息技术的迅猛发展,特别是人工智能技术的进步,智能体成为推动图书馆向智能化转型的关键因素之一。探索智能体在图书馆领域的应用,不仅能提高图书馆服务的质量和效率,还能增强图书馆在社会文化领域的影响力,满足当代读者多样化和个性化的需求。[方法/过程] 首先,从智能体的概念、特征、能力和应用4个方面出发,探讨智能体在图书馆应用的发展,并讨论如何构建完整的基于智能体的智慧图书馆体系框架;其次,提出基于智能体的智慧图书馆转型路径,涵盖硬件基础设施的升级、智能化软件系统的建设、图书馆智能体的构建以及服务模式的创新尤其是智能体在图书馆领域的具体应用场景等方面;最后,展望智能体在智慧图书馆中的未来发展趋势。[结果/结论] 研究表明,构建具有自我学习能力的图书馆智能体,可以改善现有的服务模式并开辟新的服务领域,促进图书馆向智慧化方向持续发展。

本文引用格式

储节旺 , 樊鑫鑫 . 智能体在智慧图书馆中的应用:特征能力、体系框架与构建路径[J]. 图书情报工作, 2025 , 69(14) : 52 -60 . DOI: 10.13266/j.issn.0252-3116.2025.14.005

Abstract

[Purpose/Significance] With the rapid development of information technology, especially advancements in artificial intelligence, agents have become key factors in promoting the transformation of libraries toward intelligence. Exploring the application of agents in the library field can not only improve the quality and efficiency of library services but also enhance the influence of library in social and cultural fields, and meet the diverse and personalized needs of contemporary readers. [Method/Process] This paper examined the development of agent applications in libraries, focusing on the concept, characteristics, capabilities, and applications of agents. It explored how to build a complete smart library system framework based on agents, and proposed a transformation path for smart libraries based on agents, including the upgrading of hardware infrastructure, the development of intelligent software system, the construction of library agents, and the innovation of service models, especially on the specific application scenarios of the agent in the library field. Finally, it discussed the future development of agents in smart libraries. [Result/Conclusion] The research shows that building library agents with self-learning capability can improve existing service models, open up new service fields, and promote the continuous development of library intelligence.

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