遥感开源软件知识图谱的自动构建与风险分析方法及装置

By constructing a knowledge graph and a multi-dimensional risk measurement model for remote sensing open-source software, the industry-specific needs for risk assessment of remote sensing open-source software were addressed, enabling quantitative risk assessment and secure supply chain management, thereby improving the security and compliance of the software supply chain.

CN121390252BActive Publication Date: 2026-07-17AEROSPACE INFORMATION RES INST CAS

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AEROSPACE INFORMATION RES INST CAS
Filing Date
2025-12-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing risk assessment methods for open-source remote sensing software are ill-suited to its open, collaborative, community-driven, and rapidly iterating nature, posing security, compliance, and maintenance risks. Furthermore, traditional assessment tools have strong limitations and cannot meet specific industry needs.

Method used

Construct a knowledge graph for remote sensing open-source software. By collecting and analyzing open-source software, algorithms, components and tools, construct a knowledge graph covering multiple elements such as developers, geographical locations, and open-source licenses. Design a multi-dimensional risk measurement model to achieve quantitative assessment of risk levels and supply chain cascading risk management.

Benefits of technology

It enables multi-dimensional quantitative assessment of risks in remote sensing open-source software, provides a real-time risk transmission and feedback mechanism, ensures the security and compliance of the supply chain, and reduces potential risks in the software supply chain.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供一种遥感开源软件知识图谱的自动构建与风险分析方法及装置,涉及遥感开源软件领域。包括采集遥感数据的开源软件、算法、组件及工具,形成初始软件资源池;以包管理器依赖树为入口,逐级追溯各软件的上游依赖,构建依赖关系数据池;根据依赖关系数据池,将软件、软件包、贡献者定义为本体,并为每类本体赋予属性集合,通过本体映射生成知识图谱的三元组集合,完成知识图谱的构建;基于知识图谱,设计多维度风险度量模型,进行风险量化评分;当任一软件的风险评分更新时,沿依赖方向逆向遍历图谱,更新软件风险评分;将风险评分映射到低、中、高三级,并依据等级触发相应策略,完成遥感开源软件供应链的风险闭环管理。
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