基于<bold>IARPA</bold>项目指南的智能情报技术解析与布局启示

doi:10.3772/j.issn.1000-0135.2025.03.001

情报学报

2025, Vol. 44

Issue (3): 257-270 DOI: 10.3772/j.issn.1000-0135.2025.03.001

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基于IARPA项目指南的智能情报技术解析与布局启示

付芸¹, 刘细文^1,2

1.中国科学院文献情报中心，北京 100190
2.中国科学院大学经济与管理学院信息资源管理系，北京 100190

Parsing and Layout Insights of Agentic Document and Information Service Technology Based on IARPA's Project Announcements

Fu Yun¹, Liu Xiwen^1,2

1.National Science Library, Chinese Academy of Sciences, Beijing 100190
2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190

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摘要明确智能情报技术的内涵和外延对情报机构规划和科研人员选题至关重要。本文探索使用美国情报高级研究计划局发布的87个项目指南全文本开展细粒度技术内容分析，从主题-子主题-技术问题-评估指标四个层级维度立体化揭示其围绕智能情报技术的布局内容和特征，在此基础上总结得出智能情报技术是什么、包含哪些内容。为此，本文提出基于项目指南的技术布局分析框架，设计项目指南描述模型（project description model，PDM），包含研究目标、技术问题和评估指标三类知识元素；研发适用于PDM的项目指南文本解析提示词，在GPT-4o（generative pretrained transformer 4 omni）中应用后三类知识元素平均识别准确率达92.94%；使用TopicGPT依次处理项目指南的概要文本和研究目标文本并构建分层主题（主题-子主题）；使用分层主题、技术问题与评估指标揭示技术布局内容和特征。经分析得出智能情报技术是指应用于情报工作的智能技术与升级情报工作流程智能化的信息技术，涵盖智能数据、智能计算、智能认知和智能系统四个方面，具有四大关键特征和四类评估原则，相关案例佐证了本文结论的可靠性。最后，在大情报观指导下，本文提出面向未来智能情报技术布局的六大任务方向，包括三类关键技术研发问题：情报应用情景的智能解析与认知建模技术、目标驱动的跨时空模态情报数据生产与组织技术、适用于复杂情报情景计算与分析的智能信息技术；三类核心实践应用问题：情报工作流程的标准化与自动化、情报工具的易用性与分析结果的可传播性、情报工作评估体系的确定性与可测量性。

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	付芸
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关键词 ：智能情报技术, 技术布局, 项目指南, 项目指南描述模型

收稿日期: 2024-09-14

基金资助:国家社会科学基金重大项目“数智转型背景下智能情报关键技术应用研究”（23&ZD228）。

作者简介: 付芸，女，1991年生，博士，馆员，主要研究方向为智能情报、知识表示方法、知识计算技术；刘细文，通信作者，男，1965年生，博士，研究员，博士生导师，主要研究方向为智能情报、战略情报、情报学理论与方法，E-mail：liuxw@mail.las.ac.cn；

引用本文:

付芸, 刘细文. 基于IARPA项目指南的智能情报技术解析与布局启示[J]. 情报学报, 2025, 44(3): 257-270.
Fu Yun, Liu Xiwen. Parsing and Layout Insights of Agentic Document and Information Service Technology Based on IARPA's Project Announcements. 情报学报, 2025, 44(3): 257-270.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2025.03.001 或 https://qbxb.istic.ac.cn/CN/Y2025/V44/I3/257

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