摘要
针对电力监控系统面临的网络安全问题实际需求,开展了本体自动构建技术研究,以现有的领域本体自动化构建技术为基础,从非结构化文本数据提取出电网安全监测领域本体SafeAgent,采用机器学习、自然语言处理、关联规则等方法抽取本体概念,挖掘概念之间的关系,完善了领域本体自动化构建方案.经实验验证,本文采用的方法能以较高准确率完成领域本体的自动化构建工作,克服对人工以及专家知识的依赖.
Aiming at the actual needs of network security problems faced by the power monitoring systems,research on ontology construction technology was carried out.Based on existing domain ontology automation construction technologies,a power grid monitoring domain ontology named SafeAgent was proposed from unstructured text data.Using methods such as machine learning,natural language processing and association rules to realize extraction of ontology concepts.Futhermore,this study accomplished the mining of relationships between concepts,and perfecting of the domain ontology automation construction scheme.The experimental verification shows that the method proposed in this study can complete the automatic construction of domain ontology with higher accuracy while overcoming reliance on human and expert knowledge.
作者
于碧辉
孙思
李岳
YU Bi-Hui;SUN Si;LI Yue(Shenyang Institute of Computing Technology,Chinese Academy of Sciences,Shenyang 110004,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《计算机系统应用》
2020年第11期243-249,共7页
Computer Systems & Applications
关键词
本体
自动构建
层次聚类
关联规则
电网安全
ontology
automatic construction
hierarchical clustering
association rules
power-grid security
