AI4S背景下的知识服务变革:模式演化与应对策略  

Knowledge Service Transformation in the Context of AI for Science(AI4S):Model Evolution and Response Strategies

作　　者：赵瑞雪[1,2,3] 杨潇 李娇 鲜国建 寇远涛[1,2,3] Zhao Ruixue;Yang Xiao;Li Jiao;Xian Guojian;Kou Yuantao(Agricultural Information Institute of CAAS,Beijing 100081;Key Laboratory of Knowledge Mining andKnowledge Services in Agricultural Converging Publishing,National Press and Publication Administration,Beijing 100081;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081)

机构地区：[1]中国农业科学院农业信息研究所,北京100081 [2]国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室,北京100081 [3]农业农村部农业大数据重点实验室,北京100081

出　　处：《情报理论与实践》2025年第4期44-53,共10页Information Studies:Theory & Application

基　　金：科学技术部科技创新2030——“新一代人工智能”重大项目“农业智能知识服务平台研发与应用示范”的研究成果,项目编号:2021ZD0113705。

摘　　要：[目的/意义]随着信息环境、技术环境以及科研范式的不断演变,知识服务在业态格局、形态方法等方面也经历着深刻变革,探索AI4S背景下的知识服务模式演化对于指导新时期知识服务的发展策略与方向具有重要价值。[方法/过程]文章从AI4S政策战略、学界业界发展态势等角度深入梳理,厘清AI4S对知识服务业态变革的重要影响、支撑AI4S的知识服务新挑战新任务,并以国家农业图书馆实践探索为例,从知识资源底座建设、智能计算能力塑造、服务产品体系研发三个维度提出应对策略。[结果/结论]AI4S范式下知识服务面临智能化、个性化、精准化的新需求,筑牢知识资源新底座、提升知识挖掘新能力、塑造AI应用新技能及构建协同科研新平台是应对技术变革、业务重塑的重要方向。[Purpose/significance]The ongoing evolution of the information environment,technological environment and scientific research paradigm is driving profound changes in the industry pattern,form and method of knowledge services.An investigation into the evolution of knowledge service models in the context of AI for Science(AI4S)holds significant value for guiding the development strategies and directions of knowledge services in the new era.[Method/process]This article delves into the policy strategies of AI4S and the development trends in academia and industry,clarifying the significant impact of AI4S on the transformation of knowledge service industries,as well as the new challenges and tasks in supporting AI4S.Taking the practical exploration of the National Agricultural Library as an example,we propose corresponding strategies from three dimensions:the construction of knowledge resource foundations,the shaping of intelligent computing capabilities,and the development of service product systems.[Result/conclusion]Within the AI4S paradigm,knowledge services are confronted with new demands for intelligence,personalization,and precision.Key strategies for adapting to technological advancements and business reconfiguration include reinforcing the foundational knowledge resources,enhancing capabilities for knowledge extraction,developing competencies for AI applications,and establishing new collaborative research platforms.

关 键 词：AI4S 知识服务 科研范式 模式演化 发展策略 国家农业图书馆 

分 类 号：G63[文化科学—教育学]