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Journal of Scientific Information Research

Keywords

complex information environment; national defense science and technology; smart intelligence; science and technology intelligence service; smart intelligent service

Abstract

[Purpose/significance] National defense science and technology intelligence serves as a powerful guarantee for promoting national defense science and techndogy innovation and development. Exploring optimization paths for defense science and technology intelligence service systems holds practical significance in developing new quality combat capabilities and safeguarding national security and stability. [Method/process] Through literature review and summarization, this study clarifies the impact of complex information environments on intelligent defense science and technology intelligence services, as well as the core tasks of intelligent intelligence services. Based on activity theory, the study deconstructs system elements and employs systems engineering principles to construct an intelligent defense science and technology intelligence service system within complex information environments. [Result/conclusion] The study identifies the system's constituent elements from three aspects: service subjects, service objects and service tools. Building on this foundation, it establishes an intelligent defense science and technology intelligence service system composed of demand comprehension layer, data mining layer, comprehensive analysis layer and service feedback layer. The construction of this system facilitates the transformation of defense science and technology intelligence services toward systematization and intelligence, providing theoretical guidance for the advancement of defense science and technology intelligence.

First Page

47

Last Page

58

Submission Date

15-Jul-2025

Revision Date

02-Aug-2025

Acceptance Date

25-Aug-2025

Published Date

01-Apr-2026

Reference

[1] 邓可, 聂冲, 范晓轩.一种基于作战概念开发的国防科技协同创新模式[J].情报理论与实践, 2022, 45(9): 1-5.
[2] 吴集, 刘书雷, 杨筱.基于结构模型—词频计算的国防科技战略情报分析方法[J].情报理论与实践, 2023, 46(11): 66-72.
[3] 雷帅, 李晓松, 陈敬一.系统动力学视角下国防科技信息工作体系建设研究[J].情报理论与实践, 2021, 44(2): 103-108, 49.
[4] 赵志耘, 曾文.复杂信息环境下科技情报理论体系构建问题研究[J].情报学报, 2022, 41(6): 549-557.
[5] 苏成, 赵润博, 黄雁宁, 等.复杂信息环境下的情报快速反应机制研究[J].情报学报, 2024, 43(5): 528-537.
[6] 张代平, 赵相安, 李洁, 等.新时代国防科技情报研究创新发展思考[J].情报理论与实践, 2022, 45(12): 31-35.
[7] 胡丽娜, 郝继英, 张谦.国防科技重点领域发展态势情报分析模型构建研究[J].情报理论与实践, 2024, 47(3): 89-94.
[8] 汤珊红, 李晓松, 赵柯然, 等.生成式人工智能赋能国防科技情报[J].情报理论与实践, 2023, 46(11): 81-85, 99.
[9] 刘庆龄, 王一伊, 曾立.大国竞争下国防科技情报工作的优化策略研究[J].情报杂志, 2022, 41(10): 1-8.
[10] 赵相安, 雷帅, 汤珊红, 等.复杂信息环境下国防科技情报工作发展研究[J].情报学报, 2022, 41(12): 1248-1254.
[11] 赵相安, 雷帅, 汤珊红, 等.复杂信息环境下国防科技情报工作机理多视角分析[J].情报理论与实践, 2023, 46(2): 1-6, 23.
[12] 张羽丰, 冯云皓, 雷帅, 等.大国博弈背景下国防科技动态情报业务模型构建研究[J].情报理论与实践, 2025, 48(5): 30-33.
[13] 罗立群, 李广建.智慧情报服务与知识融合[J].情报资料工作, 2019, 40(2): 87-94.
[14] 郑荣, 高志豪, 魏明珠, 等.面向国家重大战略的智慧情报服务: 内涵界定、赋能机制与逻辑进路[J].图书与情报, 2022(5): 115-124.
[15] 李晓妍.面向产业技术创新的智慧情报服务生态系统构建及系统动力学分析[J].情报科学, 2024, 42(5): 120-129.
[16] 郑荣, 高志豪, 吴沁珂, 等. “数据要素×" 效应下产业协同应急智慧情报服务架构与机制研究[J].情报理论与实践, 2024, 47(11): 13-24.
[17] 赵志耘.论复杂信息环境下的科技情报卓智赋能[J].情报学报, 2022, 41(12): 1229-1237.
[18] U.S.Congress.United States Innovation and Competition Act of 2021[EB/OL].(2021-08-06)[2025-03-29].https://www.congress.gov/bill/117th-congress/senate-bill/1260/text.
[19] 鞠孜涵, 白如江, 冯梦莹, 等.复杂信息环境下多源数据情报价值发现研究[J].图书与情报, 2023(3): 61-70.
[20] SPASSER M A.Informing information science: The case for activity theory[J].Journal of the American Society for Information Science, 1999, 50(12): 1136-1138.
[21] 潘颖, 孔宝红, 刘桂锋, 等.活动理论视角下高校图书馆专利情报服务框架设计与应用[J].情报科学, 2024, 42(8): 109-117.
[22] 郑荣, 杨竞雄, 魏明珠, 等.活动理论视角下的产业竞争情报智慧服务分析框架研究[J].情报杂志, 2021, 40(8): 38-44, 52.
[23] 孙守强, 李青青.基于情报感知的智慧图书馆网络舆情服务体系构建[J].情报科学, 2023, 41(7): 146-152.
[24] 雷帅, 李晓松, 陈敬一.基于WSR-RDJF国防科技战略情报研究的方法框架[J].情报理论与实践, 2020, 43(10): 25-30.
[25] HERRING J P.Key intelligence topics: A process to identify and define intelligence: Requirement[J].Competitive Intelligence Review, 1999, 10(2): 4-14.
[26] WILLIAMS L C.How the US is using open-source intel to track Russia's war in Ukraine[EB/OL].(2023-07-28)[2024-12-25].https://www.defenseone.com/threats/2023/07/open-source-intelligence-has-been-crucial-tracking-irans-drone-supply-russia/388929/.
[27] FOY K.Artificial intelligence shines light on the dark web[EB/OL].(2019-05-13)[2024-10-07].https://news.mit.edu/2019/lincoln-laboratory-artificial-intelligence-helping-investiga-tors-fight-dark-web-crime-0513.
[28] 李继萌, 吴绍忠.美国情报界新兴技术应用趋势及对中国的启示: 基于CSIS报告的分析[J].情报杂志, 2021, 40(5): 34-41.
[29] 林卓, 张福山, 陈乐.融合大语言模型的国防科技情报智能感知系统构建及应用研究[J].情报理论与实践, 2024, 47(4): 35-41.
[30] 王静雅, 申华, 沈彦.智能化时代美国情报分析转型工作研究[J].情报杂志, 2022, 41(11): 8-14.
[31] JAKUB W.DIA announces breakthrough in AI-focused MARS project[EB/OL].(2021-04-06)[2024-12-16].https://www.overtdefense.com/2021/04/06/dia-announces-breakthrough-in-ai-focused-mars-project/.
[32] 白如江, 鞠孜涵, 张玉洁, 等.面向情报感知的多源多模态数据融合方法研究[J].情报杂志, 2023, 42(10): 124-131.
[33] BRIAN K.The intelligence edge: Opportunities and challenges from emerging technologies for U.S.intelligence[EB/OL].(2020-04-30)[2025-01-16].https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/200417_Katz_IntelligenceEdge_WEB%20FINAL.pdf.
[34] DARPA.Knowledge-Directed Artificial Intelligence Reasoning over Schemas(KAIROS)[EB/OL].(2024-12-31)[2025-01-10].https://www.darpa.mil/program/knowledge-directed-artificial-intelligencereasoning-over-schemas.
[35] IARPA.ForeST: forecasting science & technology[EB/OL].(2021-11-28)[2025-01-07].https://www.iarpa.gov/research-programs/forest.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.02.005

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