科研智能化新趋势下知识服务的挑战与机遇

Challenges and Opportunities of Knowledge Service under the New Trend of Intelligent Scientific Research

[研究目的]当今数据驱动型研究时代,世界科技正呈现新的发展态势和特征。AI模型、系统的强有力发展,为科学研究带来新面貌,兴起了科研智能化的发展态势,同时也为当前知识服务的智能化升级带来契机。[研究方法]从科技情报服务视角,阐述了科研智能化的发展现状及内涵特征,解析了其中的实现过程及特点,列举了嵌入科研智能化范式的知识服务变革方向,探讨了未来科研生态的两大问题,以期得到相关研究领域研究者与应用者的共同关注。[研究结论]为把握时代机遇,知识服务机构需要借助科研数据基础设施及科研数据推理平台,转型升级为知识内容方案的提供者和一线科研人员提供更智能、更强有力的支撑,加速知识发现过程,推动我国在世界科技发展中抢占先机。

[Research purpose]In the current era of data-driven research,world technology is showing new development trends and characteristics.The powerful development of AI models or systems has brought a new look to scientific research and has led to the development of intelligent scientific research;at the same time,it has also brought opportunities for the intelligent upgrade of current knowledge services.[Research method]Based on the perspective of scientific and technological information services,this article elaborates on the development status and connotation characteristics of scientific research intelligence,analyzes its realization process and characteristics,enumerates the direction of knowledge service revolution embedded in the paradigm of scientific research intelligence,and discusses the two major issues of scientific research ecology in the future,which are expected to attract the common attention of researchers in related research fields.[Research conclusion]It is certain that in order to seize the opportunities of the times,knowledge service organizations need to build scientific research data infrastructure and scientific research data reasoning platforms to upgrade to providers of knowledge content solutions,and provide front-line scientific researchers with smarter and stronger support,to speed up the process of knowledge discovery and promote our country to seize the opportunity in the development of world science and technology.