Didact: A Cross-Domain Capability Discovery System for Defence
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Computer Science > Computation and Language
Title:Didact: A Cross-Domain Capability Discovery System for Defence
Abstract: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:
| Comments: | Under Review at CIKM 2026 (System Demonstration Track) |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2606.06942 [cs.CL] |
| (or arXiv:2606.06942v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.06942
arXiv-issued DOI via DataCite (pending registration)
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