信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (4): 157-160.doi: 10.13365/j.jirm.2025.04.157

• 书评 • 上一篇    

聚数成知智启新篇——评《网络资源多维度聚合与知识发现研究》

孙建军   

  1. 南京大学信息管理学院,南京,210023
  • 出版日期:2025-07-26 发布日期:2025-08-31
  • 作者简介:孙建军,教授,博士生导师,研究方向为网络信息资源管理、大数据分析,Email:sjj@nju.edu.cn。

Aggregating Data into Knowledge: Unlocking New Horizons——A Book Review of Research on Multi-dimensional Aggregation of Internet Resource and Knowledge Discovery

Sun Jianjun   

  1. School of Information Management, Nanjing University,Nanjing,210023
  • Online:2025-07-26 Published:2025-08-31
  • About author:Sun Jianjun, professor, Ph.D. supervisor, research interests include management of internet information resources, big data analytics, Email:sjj@nju.edu.cn.

摘要: 大数据环境下,如何基于网络资源聚合以赋能有效知识发现?围绕这一基本问题,本文对夏立新教授的专著《网络资源多维度聚合与知识发现研究》进行评介。笔者立足研究前沿和学科关切,从学科视角、理论基础、谋篇布局、方法结论等维度提炼该专著的核心内容与研究特色。经批判性研读与比较分析,笔者认为该著作聚焦网络生态演进中信息资源管理的前沿动态与现实诉求,其学术关切与我国图书情报领域的核心议题高度契合;研究成果呈现出显著的理论价值与实践意义,既针对“信息泛滥”“信息迷航”等现象构建了系统性的应对框架,也可为信息资源管理学科的后续相关研究提供理论支撑与实践参考。

关键词: 网络资源, 多维度聚合, 知识发现, 书评

Abstract: In the context of big data, how can Internet resource aggregation be leveraged to enable effective knowledge discovery? This review examines Professor Xia Lixin’s book Research on Multi-dimensional Aggregation of Internet Resource and Knowledge Discovery around this central question. Grounded in cutting-edge research and disciplinary concerns, this review distils the core content and research characteristics of the book from dimensions including disciplinary perspective, theoretical foundation, structural design, research methodology and conclusions. Through critical reading and comparative analysis, this review argues that the book precisely focuses on the cutting-edge trends and practical demands of information resource management in the evolution of the Internet ecosystem. Its academic concerns align closely with the core issues in China's library and information science field. The research findings demonstrate significant theoretical value and practical significance, providing a systematic framework to address phenomena such as ‘information overflow’ and ‘information disorientation’, while offering theoretical support and practical references for future related research in the field of information resource management.

Key words: Internet resource, Multi-dimensional aggregation, Knowledge discovery, Book review

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