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作 者:姚长青[1] 程齐凯[2,3] 王莉军[1] 刘家伟 Yao Changqing;Cheng Qikai;Wang Lijun;Liu Jiawei(Institute of Scientific and Technical Information of China,Beijing 100038;School of Information Management,Wuhan University,Wuhan 430072;Institute of Intelligence and Innovation Governance,Wuhan University,Wuhan 430072)
机构地区:[1]中国科学技术信息研究所,北京100038 [2]武汉大学信息管理学院,武汉430072 [3]武汉大学智能与创新治理研究所,武汉430072
出 处:《情报学报》2025年第1期1-9,共9页Journal of the China Society for Scientific and Technical Information
基 金:新一代人工智能国家科技重大专项项目“高可靠科技文献智能引擎关键技术研发与示范应用”(2023ZD0121500);国家自然科学基金重点项目“数智赋能的科技信息资源与知识管理理论变革”(72234005);中央高校基本科研业务费专项资金资助项目(2042023kf0220)。
摘 要:情报工作正经历着从传统模式向智能化模式的深刻转型。从早期的智能检索到当前的大模型驱动的智能情报理解,情报技术已逐步从“智能+情报”和“智能for情报”等演化为“智能即情报”和“情报即智能”的新模式。本文详细探讨了智能情报技术的概念、技术边界及其体系建构,提出了面向数智时代的智能情报技术体系架构,涵盖了全源科技情报协同感知与融合技术、智能情报认知理解技术、智能情报监测预警技术、竞争情报智能分析技术和科技情报驱动的智能循证决策技术。该体系全面覆盖情报工作的各个流程,旨在通过体系建构助力提升情报工作和情报研究的智能化水平,服务科技情报事业的智能化转型,支撑我国高水平科技自立自强。本文不仅对智能情报技术的发展具有重要的理论价值,也为实际应用提供了明确的技术路径和实施框架。Information has undergone a profound transformation from traditional to intelligent models.From early intelligent retrieval to the current large-model-driven intelligent information understanding,information technologies have gradually evolved from‘Intelligence+Information’and‘Intelligence for Information’into new paradigms of‘Intelligence as Information’and‘Information is Intelligence.’This study thoroughly explores the concept,technical boundaries,and systematic construction of intelligent information technology,proposing a system architecture tailored to the digital intelligence era.This framework encompasses collaborative sensing and integration technologies for all-source scientific and technological information,cognitive understanding technologies for intelligent information,monitoring and early warning technologies for intelligent information,intelligent analysis technologies for competitive intelligence,and scientific-information-driven intelligent evidence-based decision-making technologies.This system comprehensively addresses all processes of information work,aiming to enhance information and research capabilities through system construction,support the intelligent transformation of scientific information endeavors,and contribute to China’s high-level self-reliance and strength in science and technology.The research presented in this paper not only holds significant theoretical value for the advancement of intelligent information technology but also provides a clear technical roadmap and implementation framework for practical applications.
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