AI驱动下学术出版服务自然科学知识生产的机制分析

Research on Knowledge Production Innovation in Academic Publishing Field Driven by AI Technology:Taking natural science knowledge as an example

AI技术的应用为学术出版商在知识生产领域的探索提供了难得机遇,智能出版的核心价值在于从已出版文献、科研实验数据、引用数据等资源中发现知识间的新关联,为科学进步贡献力量。通过文献调查、比较分析和案例探讨,指出AI技术在数据的获取、利用、审核,学术语言的翻译,智能化的信息关联与知识推理,推动科学家的合作与知识分享,预测学科领域前沿等方面提供了前所未有的便利,推动了自然科学领域出版事业的智能化转型。自然科学领域知识生产的内在逻辑和AI的独有特征,共同决定了在以上场景中学术出版企业的数智化转型升级将大有可为。

The Application of AI provides a rare opportunity for academic publishers to explore in the field of knowledge production. The core value of intelligent publishing lies in discovering new knowledge correlation among published resources such as published literature, scientific research data, and citation data. The inherent logical characteristics of knowledge production in the natural sciences include : quantitative and empirical research methods, value neutrality and logical necessity of knowledge content, specialization and formalization of knowledge expression, collaboration and openness of production process, the progressive and non-historical nature of knowledge development. Based on the above characteristics, the development of academic publishing in this field is more reliable and less difficult.