图书情报工作

图书情报工作 >

2024 , Vol. 68 >Issue 18: 23 - 31

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.18.003

专题：迎接ChatGPT对信息资源管理的挑战

面向生成式人工智能（AIGC）的图书馆信息资源建设优化策略研究

  • 丁遒劲 ,
  • 苏静
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  • 1 中国人民大学图书馆 北京 100872;
    2 陕西师范大学新闻与传播学院 西安 710069
丁遒劲,副研究馆员,博士,提出论文选题,设计研究结构,收集资料并撰写

收稿日期: 2023-11-02

  修回日期: 2024-02-02

  网络出版日期: 2024-10-08

基金资助

本文系国家社会科学基金青年项目“基于媒体融合的图书馆知识服务优化机制研究”（项目编号：19CTQ008）研究成果之一。

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Research on the Optimization Strategies for Library Information Resources Construction Oriented to the Development of AIGC

  • Ding Qiujing ,
  • Su Jing
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  • 1 Renmin University of China Libraries, Beijing 100872;
    2 School of Journalism and Communication, Shaanxi Normal University, Xi'an 710069

Received date: 2023-11-02

  Revised date: 2024-02-02

  Online published: 2024-10-08

Supported by

This work is supported by the youth program of the National Social Science Fund of China titled “Research on the Optimization Mechanism of Library Knowledge Service Based on Media Convergence” (Grant No. 19CTQ008).

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摘要

[目的/意义] 以ChatGPT为代表的生成式人工智能（Artificial Intelligence Generated Content，AIGC）对知识生产和服务方式带来巨大变革，图书馆不可避免地受到影响进而面临挑战，亟待充分审视现有信息资源建设模式存在的局限性，通过优化信息资源建设推动实现图书馆的智慧服务。[方法/过程] 从AIGC的典型应用入手，分析AIGC对图书馆服务产生的影响，进而结合图书馆信息资源建设现状和存在问题，探讨相应的资源建设优化策略。[结果/结论] 图书馆在适应AIGC发展推动服务变革的过程中，亟待加大开源信息资源建设力度、重视馆藏数字资源权益管理、探索知识库嵌入大语言模型（Large Language Model，LLM）的融合应用路径、重塑数据治理体系，以及加强与技术公司的协同合作。

关键词： 信息资源建设; AIGC; 智慧图书馆; 知识服务

本文引用格式

丁遒劲 , 苏静 . 面向生成式人工智能（AIGC）的图书馆信息资源建设优化策略研究[J]. 图书情报工作, 2024 , 68(18) : 23 -31 . DOI: 10.13266/j.issn.0252-3116.2024.18.003

Abstract

[Purpose/Significance] The rise of generative AI, represented by ChatGPT, has significantly transformed the model of knowledge production and knowledge service. Libraries are also affected by the transformation and face significant challenges. It is urgent to examine the limitations of the information resource construction and to support the realization of smart services in libraries. [Method/Process] From the typical applications of AIGC, this article analyzed its impact on library services. It then explored strategies for optimizing information resource construction in libraries, based on the current situation and existing problems of information resource construction.[Result/Conclusion] To adapt to the development of AIGC and promote service change, libraries urgently need to strengthen the construction of open-source information resources, manage the rights and interests of digital collections, explore the path of embedding the knowledge base into LLM, reshape the library data governance system, and strengthen cooperation with technology companies.

Key words： information resource construction; AIGC; smart library; knowledge service

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