Didact用知识图谱整合防务资料，让政策制定者快速发现关键能力。
Didact: A Cross-Domain Capability Discovery System for Defence
- 构建防务知识图谱，融合报告与科研文献
- 支持自然语言对话，输出可审计的证据链
- 适合国防、安全领域政策研究者使用
国防及关联领域的决策者需持续跟踪快速演进的研究，同时匹配作战与战略需求。现实中，这些信息分散在异构格式、独立数据源和孤立更新流中，导致能力发现效率低且难以追溯。我们提出Didact原型系统，整合澳大利亚公开的防务报告与政策文件，并基于澳大利亚科研出版物构建专用知识图谱。Didact支持面向政策工作的自然语言交互，采用复合检索增强生成（RAG）流程。其核心功能为交互式证据轨道（Evidence Rail），可视化检索出的证据及其来源关系。对输出质量与运行时性能的评估验证了其有效性。尽管Didact是针对澳大利亚背景的产学研联合开发项目，但其架构可适配其他知识碎片化严重的领域。演示视频见此处：
原文摘要 · Abstract (English)
Policymakers in defence and defence-aligned sectors must monitor rapidly evolving research alongside sector priorities relevant to operational and strategic needs. In practice, these sources are fragmented across heterogeneous formats, disjoint repositories, and siloed update streams, making capability discovery slow and difficult to audit. We present Didact, a prototype that integrates publicly available defence reports and policy documents from Australia with a purpose-built knowledge graph derived from Australian research publications. Didact provides natural language conversations for policy-oriented workflows, and leverages a composite retrieval-augmented generation (RAG) pipeline. A key feature of Didact is an interactive Evidence Rail that visualises retrieved evidence and source relationships. Our evaluation of the output quality and runtime of Didact highlights its utility. While Didact has been co-developed as an academia-industry project for the Australian context, it is adaptable to other domains where knowledge is similarly fragmented. A demonstration video is available here:
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