Disaster response requires sharing heterogeneous artifacts, from tabular assistance records to UAS imagery, under overlapping privacy mandates. Operational systems often reduce compliance to binary access control, which is brittle in time-critical workflows. We present a novel deontic knowledge graph-based framework that integrates a Disaster Management Knowledge Graph (DKG) with a Policy Knowledge Graph (PKG) derived from IoT-Reg and FEMA/DHS privacy drivers. Our release decision function supports three outcomes: Allow, Block, and Allow-with-Transform. The latter binds obligations to transforms and verifies post-transform compliance via provenance-linked derived artifacts; blocked requests are logged as semantic privacy incidents. Evaluation on a 5.1M-triple DKG with 316K images shows exact-match decision correctness, sub-second per-decision latency, and interactive query performance across both single-graph and federated workloads.

翻译：灾害响应需要在重叠的隐私法规要求下共享异构数据制品，从表格形式的援助记录到无人机系统影像。现有操作系统通常将合规性简化为二元访问控制，这在时效性要求高的工作流中显得脆弱。我们提出了一种新颖的基于义务逻辑知识图谱的框架，该框架将灾害管理知识图谱与源自IoT-Reg及FEMA/DHS隐私驱动因素的政策知识图谱相集成。我们的发布决策函数支持三种结果：允许、阻止及允许-转换。后者将义务与转换操作绑定，并通过溯源关联的衍生制品验证转换后的合规性；被阻止的请求则记录为语义隐私事件。在一个包含510万三元组的灾害管理知识图谱及31.6万张图像上的评估表明，该框架实现了精确匹配的决策正确性、亚秒级单决策延迟，以及在单图谱和联邦工作负载下均具备交互式查询性能。