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网络协议排错知识图谱构建方法研究

傅颖军

（中国电子科技集团公司第七研究所，广东 广州 510275）

栏目：计算机技术 · 第 2026 年第 17 期 · 页码：66-71,78 · 2096-4706（2026）17-0066-07 · 中图分类号：TP391 · 文献标识码：A · DOI：10.19850/j.cnki.2096-4706.2026.17.012

摘要

针对网络协议排错积累的丰富但分散的案例资源无法有效组织利用的问题，本研究以知识图谱和深度学习技术为支撑，创新性地提出一种构建具备自学习、易拓展和全视角等强大能力的网络协议排错知识图谱的方法。首先根据案例数据模式设计基于本体的网络协议排错知识库架构，然后提出融合领域特征的知识抽取方法和模型，并通过实验证明该模型性能与基线模型相比，各项指标表现达到最优，准确率、召回率和F1分数分别为82.3%、81.6%和81.9%，最后依据实验结果实现网络协议排错知识图谱。

关键词

网络协议；排错案例；知识图谱；知识抽取

参考文献

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作者简介

傅颖军（1974—），男，汉族，广东兴宁人，高级工程师，硕士研究生，研究方向：移动通信系统、网络路由与交换控制、计算机信息处理。