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科研智能化与知识服务:内涵、实现与机遇 被引量:16

Intellectualization of Scientific Research and Knowledge Service:Conceptualization,Realization and Opportunity
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摘要 [目的/意义]立足于科技情报服务视角,研判未来科研过程的发展趋势——智能化,同时明确当前知识服务智能化升级机遇,以此为国家的科技发展把握先机并提供更强有力保障。[方法/过程]文章借助培根归纳法分析框架,通过梳理生物学界“Alpha Fold”、化学界“A Mobilie Chemist”等“智能科学家”系统的实现原理和系统架构,发现未来科研智能化范式的典型特征是将AI算法和机器人技术与科学研究相融合,实现科研假说的自主提出甚至是假说合理性的自主验证。[结果/结论]当科研过程走向智能化,科技知识服务平台也需走向数据化和计算化,相应的服务角色、服务目标、服务方式和能力基础也将发生重大转变。 [Purpose/significance]Based on the perspective of technology knowledge service,it is clear that the future development trend of scientific research is intelligent,which force the current knowledge service to upgrade intelligently.Thus,it can more provide more powerful support for the country’s scientific and technological development.[Method/process]With the help of Bacon’s induction analysis framework,this paper combines the realization principle of“Robot Scientist”systems such as“Alpha Fold”in biology and“A Mobilie Chemist”in chemistry,and finds the typical feature of future scientific research intelligent paradigm is to integrate AI algorithm,robot technology and scientific research,so as to realize independent proposal of scientific hypotheses or even independent verification of their rationality.[Result/conclusion]As the scientific research process moves towards intelligence,the scientific knowledge service organizations also need to move towards digitalization and computerazation,the corresponding service role,goal,mode and capability basis will also undergo significant changes.
作者 孙蒙鸽 韩涛 Sun Mengge
出处 《情报理论与实践》 CSSCI 北大核心 2021年第10期41-49,共9页 Information Studies:Theory & Application
基金 中国科学院文献情报能力建设专项文献情报中长期发展战略研究项目(项目编号:Y9290003) 中国科协第五届青年人才托举工程项目“融合多源情报数据的领域知识发现和科技前沿识别研究”(项目编号:2019QNRC001)共同资助。
关键词 科研智能化 知识服务 智能科学家 科学范式 科研创新 科技情报 intelligent scientific research knowledge service AI scientist scientific paradigm scientific research innovation science and technology information
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