出版科学 ›› 2025, Vol. 33 ›› Issue (4): 83-93.

• 数智出版专题 • 上一篇    下一篇

数据技术赋能人工智能产品开发路径研究 :以爱思唯尔学术出版集团为例

  

  1. 北京印刷学院出版学院
  • 收稿日期:2024-09-21 修回日期:2025-04-20 出版日期:2025-07-29 发布日期:2025-07-29
  • 作者简介:张晓菲,文学博士,北京印刷学院出版学院教授。
  • 基金资助:
    本文系广西文科中心科学研究工程·出版传媒专项项目“国际科技期刊出版机构数智化转型路径与启示研究”(CBCMA2025001)研究成果。

Research on the Development Pathways of AI Products Empowered by Data Technology: A Case Study of Elsevier Academic Publishing Group

  1. School of Publishing, Beijing Institute of Graphic Communication
  • Received:2024-09-21 Revised:2025-04-20 Online:2025-07-29 Published:2025-07-29

摘要:

梳理分析了爱思唯尔学术出版集团以数据技术赋能人工智能应用和产品开发的实践与趋势:以高质量数据管理为根基,利用前沿数据科学技术组织、管理、分析和利用海量科学文献数据,为用户搭建“数据屋”,为应用新技术推进产品开发和业务创新打好数据基础;综合应用数据科学技术与人工智能技术,以本体和知识图谱等技术赋能人工智能应用和产品开发,推动数据向知识与智慧的转化;面向专业领域关键难题,基于专业领域数据平台、应用前沿人工智能技术,开发知识生产和分析决策类人工智能产品,实现数据技术对人工智能产品开发的赋能。通过分析爱思唯尔在人工智能时代遵循的以高质量数据管理赋能人工智能技术利用和产品开发的实践逻辑和行动路径,为我国学术出版机构数智化转型实践提供参考。

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Abstract:

This study systematically analyzes the practices and trends of Elsevier Academic Publishing Group in leveraging data technologies to enable AI applications and product development. The analysis reveals a three-phase implementation framework. First, establishing robust data management foundations, Elsevier employs advanced data science technologies to organize, manage, analyze and utilize vast scientific literature data, constructing a “data house” for users, thereby laying a solid data foundation for technology-driven innovation. Second, by comprehensively applying data science technologies and AI technologies, Elsevier utilizes data technologies such as ontologies and knowledge graphs to empower AI applications and product development, facilitating the transformation from data to actionable knowledge and wisdom. Third, targeting key challenges in specialized domains, Elsevier develops knowledge production and analytical decision-making AI products based on domain-specific data platforms and advanced AI technologies, realizing the empowerment of data technology for AI product development. Through analyzing Elsevier’ s practical logic and action pathway of empowering AI technology utilization and product development via high-quality data management, thisstudy provides valuable references for the digital-intelligent transformation practices of academic publishing institutions in China.

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