农业图书情报学报

• •    

中国智慧图书馆技术创新的结构性特征与演进规律——基于专利挖掘的多维实证分析

丁书鑫1, 何紫明1, 张珂1,2,3, 杨瑞仙1,2,3()   

  1. 1. 郑州大学 信息管理学院,郑州 450000
    2. 河南省数据治理研究中心,郑州 450000
    3. 河南省“双一流”建设研究中心,郑州 450000
  • 收稿日期:2026-01-27 出版日期:2026-03-27
  • 通讯作者: 杨瑞仙
  • 作者简介:

    丁书鑫,女,本科,研究方向为信息计量,数据挖掘

    何紫明,男,本科,研究方向为信息计量,数据挖掘

    张珂,女,博士,副研究员,研究方向为AI赋能的竞争情报挖掘

  • 基金资助:
    河南省高等学校哲学社会科学创新团队建设计划“数据治理与交易流通”(2024-CXTD-01); 2024年度国家资助博士后研究人员计划C档资助“数智驱动下维度-法则耦合的关键核心技术创新机会识别及路径选择研究”(GZC20241539)

Structural Characteristics and Evolutionary Patterns of Smart Library Technology Innovation in China: A Multi-dimensional Empirical Analysis Based on Patent Mining

DING Shuxin1, HE Ziming1, ZHANG Ke1,2,3, YANG Ruixian1,2,3()   

  1. 1. School of Information Management, Zhengzhou University, Zhengzhou 450000
    2. Henan Province Data Governance Research Center, Zhengzhou 450000
    3. Research Center for "double world-class project" of Henan Province, Zhengzhou 450000
  • Received:2026-01-27 Online:2026-03-27
  • Contact: YANG Ruixian

摘要:

[目的/意义] 在新一轮科技革命与产业重构浪潮的推动下,智慧图书馆建设已成为推动公共文化高质量发展与传承的关键抓手,厘清其技术创新的结构性特征与演进规律,对于实现图书馆数字化转型与文化强国战略至关重要。 [方法/过程] 以中国智慧图书馆技术专利为数据源,构建了“数据驱动→结构剖析→规律探究→问题对策”的系统性分析框架,综合运用专利计量、LDA主题模型与Logistic曲线等方法,从时间、空间、主体与主题4个维度深入剖析了其结构性特征,并据此从生命周期、空间格局、主体结构及主题分布等方面系统揭示了其演进规律。 [结果/结论] 基于上述分析过程,识别并归纳了中国智慧图书馆技术创新面临的3方面结构性瓶颈并提出了相应的对策建议,以期为推动智慧图书馆技术创新突破、加速行业数字化转型及完善公共文化服务体系现代化建设提供可资借鉴的参考。

关键词: 专利挖掘, 智慧图书馆技术, 结构性特征, 演进规律, 技术创新

Abstract:

[Purpose/Significance] Driven by a new wave of technological innovation and industrial restructuring, the construction of smart libraries has become essential for promoting high-quality development and the preservation of public culture. It is crucial to clarify the structural characteristics and evolutionary patterns of their technological innovation in order to realize library digital transformation and achieve the strategy of building a culturally strong nation. Method/Process] Using smart library technology patents in China as the data source, this study constructs a systematic analytical framework of "data-driven → structural analysis → pattern exploration → problem and countermeasure." This study uses methods such as patentometrics, latent Dirichlet allocation (LDA) topic modeling, and logistic curves to delve into the structural characteristics of four dimensions - time, space, subject, and theme - and trace their evolutionary trajectory. [Results/Conclusions] The study reveals the structural characteristics of technological innovation in China's smart libraries comprehensively. The innovation process exhibits distinct "phased leap" features. It has gone through four stages - embryonic, slow development, rapid development, and gradual maturity - and has now entered a period of stock optimization. The spatial distribution presents an unbalanced pattern characterized by "density in the east and sparsity in the west." Although technology diffusion has begun spreading from eastern coastal areas to central and western regions, this fundamental pattern has not yet been substantially altered. Regarding the innovation subject structure, a distinctive "dual-core drive" model has emerged, with universities and enterprises serving as primary innovation engines. However, the collaboration network exhibits a notable characteristic of "strong individual subjects but weak network connections." In terms of technological structure, four main thematic clusters have been identified: smart identification and positioning, data processing and transmission, information retrieval and service interaction, and smart facilities with system collaboration. These four clusters constitute a mature full-chain technological system supporting comprehensive smart library development. Furthermore, the study identifies several key evolutionary patterns. The lifecycle follows an S-shaped growth curve, with projections indicating technology will approach saturation around 2029. The spatial pattern has evolved from initial concentration in eastern regions to gradual diffusion westward. Innovation subject evolution exhibits "peak-and-valley alternation," with complementary oscillations between university basic research and enterprise application transformation. Technological theme evolution reveals four representative paths, collectively demonstrating a progressive logic of "perception → connectivity → intelligence → service." Finally, three major structural bottlenecks are diagnosed: persistent spatial imbalance with impeded diffusion mechanisms; weak collaborative ecosystems among innovation subjects; and lagging integration of cutting-edge technologies. In response, this study proposes targeted countermeasures, including optimizing technological innovation layout, strengthening multi-subject collaboration, and encouraging exploration of high-end technologies. These insights provide valuable references for promoting breakthroughs in smart library technological innovation, accelerating industry digital transformation, and improving the modernization of China's public cultural service system.

Key words: patent mining, smart library technology, technological innovation, structural characteristics, evolution patterns

中图分类号:  G250

引用本文

丁书鑫, 何紫明, 张珂, 杨瑞仙. 中国智慧图书馆技术创新的结构性特征与演进规律——基于专利挖掘的多维实证分析[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.26-0049.

DING Shuxin, HE Ziming, ZHANG Ke, YANG Ruixian. Structural Characteristics and Evolutionary Patterns of Smart Library Technology Innovation in China: A Multi-dimensional Empirical Analysis Based on Patent Mining[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.26-0049.