图书情报工作

图书情报工作 >

2025 , Vol. 69 >Issue 6: 33 - 45

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.06.003

专题：数智时代图书馆用户服务研究

图书馆智能参考咨询与业务深度融合研究

  • 张光照 ,
  • 王忠义 ,
  • 杨帆 ,
  • 张银玲 ,
  • 王楠
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  • 1 华中师范大学信息管理学院 武汉 430079;
    2 贵州财经大学图书馆 贵阳 550025
张光照，副研究馆员，博士研究生;王忠义，教授，博士，博士生导师，通信作者，E-mail:wzywzy13579@163.com;杨帆，馆长，教授，博士;张银玲，馆员，硕士;王楠，副研究馆员，硕士。

收稿日期: 2024-06-04

  修回日期: 2024-09-06

  网络出版日期: 2025-03-18

基金资助

本文系中央高校基本科研业务费资助项目“跨学科非线性知识融合研究”（项目编号：CCNU24ZZ132）和2022年度贵州财经大学校级项目“基于Python的知识图谱构建与应用实验教学设计”（项目编号：2022KYYB14）研究成果之一。

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Research on the Deep Integration of Intelligent Reference Consulting and Business in Libraries

  • Zhang Guangzhao ,
  • Wang Zhongyi ,
  • Yang Fan ,
  • Zhang Yinling ,
  • Wang Nan
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  • 1 School of Information Management, Central China Normal University, Wuhan 430079;
    2 Library of Guizhou University of Finance and Economics, Guiyang 550025
Zhang Guangzhao,associate research librarian,doctoral candidate;Wang Zhongyi,professor,PhD,doctoral supervisor,corresponding author,E-mail:wzywzy13579@163.com;Yang Fan,professor,PhD,master supervisor;Zhang Yinling,librarian,master;Wang Nan,associate research librarian,master.

Received date: 2024-06-04

  Revised date: 2024-09-06

  Online published: 2025-03-18

Supported by

This work is supported by the Fundamental Research Funds for Central Universities project titled “Research on Interdisciplinary Nonlinear Knowledge Fusion” (Grant No. CCNU24ZZ132), and 2022 Guizhou University of Finance and Economics project titled “Knowledge Graph Construction and Application Experimental Teaching Design Based on Python” (Grant No. 2022KYYB14).

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摘要

[目的/意义] 针对图书馆智能参考咨询服务无法直接处理具体业务以及图书馆第三方业务系统接口不足导致智能参考咨询服务与业务融合深度不够的问题，提出基于BERT、AIML、HTTP协议的智能参考咨询构建方案。[方法/过程] 首先，建立本地知识库和AIML语料库，并对比BERT-Base-Chinese和大语言模型Chinese-LLaMA-2进行问题意图分类的效果。其次，采用BERT-Base-Chinese进行知识库语义匹配，通过AIMLBot进行对话管理并对用户发起提问，收集用户资料。最后利用HTTP通信技术实现与图书馆本地和远程业务系统的深度融合。[结果/结论] 研究发现使用BERT-Base-Chinese进行意图分类的准确率达到了0.958 3，知识库语义匹配准确率达到了0.946 1，HTTP通信技术在与图书馆本地和远程业务系统融合具有可行性和有效性。

关键词： 图书馆; 智能参考咨询; 业务办理; 业务融合

本文引用格式

张光照 , 王忠义 , 杨帆 , 张银玲 , 王楠 . 图书馆智能参考咨询与业务深度融合研究[J]. 图书情报工作, 2025 , 69(6) : 33 -45 . DOI: 10.13266/j.issn.0252-3116.2025.06.003

Abstract

[Purpose/Significance] Addressing the issue that intelligent reference services in libraries cannot directly handle specific business operations and the lack of interfaces with third-party business systems, which leads to insufficient integration of intelligent reference services with business processes, this study proposes a construction scheme for intelligent reference services based on BERT, AIML, and HTTP protocol. [Method/Process] First, a local knowledge base and AIML corpus are established, and the performance of intent classification is compared between BERT-Base-Chinese and the large language model Chinese-LLaMA-2-7b. Second, BERT-Base-Chinese is used for semantic matching in the knowledge base, AIMLBot is employed for dialogue management, and user queries are initiated to collect user information. Finally, HTTP communication technology is utilized to achieve deep integration with both local and remote library business systems. [Results/Conclusion] The study found that using BERT-Base-Chinese for intent classification achieved an accuracy of 0.958 3, while semantic matching in the knowledge base achieved an accuracy of 0.946 1. Moreover, HTTP communication technology proved to be feasible and effective for integrating local and remote library business systems.

Key words： library; intelligent consultation; business processing; business integration

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