农业图书情报学报

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以AI塑形智慧图书馆:基于智能体的下一代图书馆服务平台

刘炜1, 张磊2, 嵇婷2, 陈晓扬3   

  1. 1. 上海社会科学院信息研究所,上海 200030
    2. 上海图书馆(上海科学技术情报研究所),上海 200031
    3. 上海福呈数据科技有限公司,上海 200433
  • 收稿日期:2025-04-11 出版日期:2025-07-21
  • 作者简介:

    刘炜(1966- ),研究员,上海社会科学院信息研究所,所长,研究方向为知识组织、人工智能、智慧图书馆、数字人文等

    张磊(1979- ),正高级工程师,上海图书馆(上海科学技术情报研究所)系统网络中心,副主任,研究方向为图书馆服务平台、智慧图书馆、人工智能、数字人文等

    嵇婷(1982- ),副研究馆员,上海图书馆(上海科学技术情报研究所),研究方向为智慧图书馆、人工智能应用、图书馆服务平台等

    陈晓扬(1978- ),上海福呈数据科技有限公司,总经理,研究方向为数字人文、人工智能、Web3.0

  • 基金资助:
    国家社会科学基金重大项目“智能时代提升全民数字素养的理论与实践研究”(24&ZD180)

Shaping the Smart Libraries with AI: An Agent-based, Next-Generation Library Service Platform

LIU Wei1, ZHANG Lei2, JI Ting2, CHEN Xiaoyang3   

  1. 1. Information Research Institue, Shanghai Academy of Social Sciences, Shanghai 200030
    2. Shanghai Library (Institute of Scientific and Technical Information of Shanghai), Shanghai 200031
    3. Shanghai Fortune Data Technology Co. , Ltd. , Shanghai 200433
  • Received:2025-04-11 Online:2025-07-21

摘要:

[目的/意义] 云计算时代提出的图书馆服务平台(LSP)未能实现其成为图书馆统一解决方案的承诺,在智慧图书馆时代又面临新的发展瓶颈。其相对刚性的架构、孤岛化的数据模型和有限的智能水平,难以满足现代用户对新型资源生态的获取,及主动式服务的迫切需求。本文旨在提出一种基于大语言模型(LLM)智能体(Agent)的下一代LSP架构A-LSP,以解决现有LSP的局限性,并推动图书馆服务平台向人工智能时代转型。 [方法/过程] 该架构引入了一个新的3层概念模型,包括实现标准化工具集成的MCP市场、负责编排调度的智能体中间件,以及支持功能扩展的智能体应用生态层。同时,文章面向未来图书馆提出了“五大中心”的建设需求框架,即智慧资源中心、智慧服务中心、智慧学习中心、智慧学术交流中心与智慧文化传承中心,以构建图书馆技术与业务融合的蓝图。 [结果/结论] 研究提出的A-LSP架构通过基于模型上下文协议(MCP)的API封装,确保了对现有系统的后向兼容性,能够在不替换原有系统的基础上实施新的平台战略。这一基于智能体的图书馆服务平台可以看成是现有LSP的重要升级,将驱动其从以资源管理为中心转向以智能体服务为中心,成为人工智能时代的图书馆服务平台。

关键词: 智能体, 智慧图书馆, 图书馆服务平台, 大语言模型, 多智能体系统, 模型上下文协议

Abstract:

[Purpose/Significance] In the era of cloud computing, the Library Services Platform (LSP) failed to become a unified solution for libraries it promised to be. Now, it faces new development bottlenecks in the era of smart libraries. Its relatively rigid architecture, isolated data models, and limited intelligence level make it difficult to meet modern users' urgent demands for access to new resource ecosystems and proactive services. This limitation stems from the fact that existing LSPs are rooted in a resource management design philosophy. They lack native support for intelligence, personalization, and ecosystem integration, which hinders their ability to serve as a core component in the construction of smart libraries. [Method/Process] The rapid development of large language model (LLM) technology is promoting libraries to transition from digital intelligent phases into a new era of intelligent services. As AI agents are increasingly emerge as a core strategy for LLM applications, this paper proposes a next-generation LSP architecture called A-LSP, which is agent-oriented. The core of A-LSP consists of a three-layer logical model. 1) Layer 1: Compatibility & Tools - MCP Marketplace, serving as the foundation of the platform, this layer bridges the agent ecosystem with the external world. It transforms existing heterogeneous library systems (including legacy LSPs) and external tools into invocable "capability units" for agents through standardized protocols. 2) Layer 2: Orchestration & Intelligence-Agent Middleware. Functioning as the platform's "operating system" and "brain," this layer handles agent lifecycle management, task planning and decomposition, state and memory maintenance, and most crucially, the coordination of multi-agent collaboration. 3) Layer 3: Application & Ecosystem - Agent Marketplace. This functional layer serves users and developers, where various reusable agents encapsulating specific business logic are published, discovered, combined, and invoked, creating a rich application ecosystem. This architecture enables the implementation of new platform strategies without replacing legacy systems, establishing a modern technological platform with endogenous intelligence, inclusive compatibility, and an open ecosystem. This agent-based library service platform can be seen as a significant upgrade to existing LSPs, it drives their transformation from resource management-centric to agent service-centric, establishing itself as the library service platform for the AI era. [Results/Conclusions] Moreover, this paper puts forward a "Five Centers" construction demand framework for future libraries, namely, the Smart Resource Center, Smart Service Center, Smart Learning Center, Smart Scholarly Communication Center, and Smart Cultural Heritage Center, to build a blueprint for the integration of library technology and business. For each center, it delineates a representative complex application scenario and analyzes the underlying multi-agent collaboration processes, thereby clearly demonstrating A-LSP's deep integration with each center's operational logic and illuminating its profound impact on future library service models.

Key words: agent, smart library, library service platform, large language model, multi-agent system, model context protocol

中图分类号:  G250.7

引用本文

刘炜, 张磊, 嵇婷, 陈晓扬. 以AI塑形智慧图书馆:基于智能体的下一代图书馆服务平台[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0379.

LIU Wei, ZHANG Lei, JI Ting, CHEN Xiaoyang. Shaping the Smart Libraries with AI: An Agent-based, Next-Generation Library Service Platform[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0379.