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作 者:贺馨仪 董明[1] 孙歆 颜拥 姚影 HE Xinyi;DONG Ming;SUN Xin;YAN Yong;YAO Ying(The State Key Laboratory of Electrical Insulation for Power Equipment,Xi'an Jiaotong University,Xi'an 710049,China;State Grid Zhejiang Electric Power Company Electric Power Research Institute,Hangzhou 310007,China)
机构地区:[1]西安交通大学电力设备电气绝缘国家重点实验室,陕西西安710049 [2]国网浙江省电力有限公司电力科学研究院,浙江杭州310007
出 处:《中国电力》2024年第11期78-87,共10页Electric Power
基 金:国家电网有限公司科技项目(5700-202241437A-2-0-ZN)。
摘 要:为了满足对电力标准文献的深度挖掘和知识规则构建的需求,提出了一种电力标准数字化方案,该方案以条件事理图谱为基础,为电力行业的高效、智能化发展提供了新的解决方案。首先为实现电力标准文献的精细化知识抽取,结合了规则和语义角色标注技术,提取出关键知识三元组,在知识融合阶段,采用词语相似度方法整合知识,提高图谱准确性;其次,建立了针对电力领域的改进标准知识图谱,更全面地表达了电力标准中的知识和规则;最后,结合Cypher查询语言和产生式规则,实现电力设备的辅助知识问答和状态评估任务,大大增强了图谱的实用性。In order to meet the demand for deep mining and knowledge rule construction of electric power standard literature,this paper proposed a novel electric power standard digitization technology,which is based on conditional event graph and provided a new solution for the efficient and intelligent development of the electric power industry.Firstly,in order to realize the refined knowledge extraction of electric power standard documents,this paper combined the rule and semantic role annotation techniques to extract the key knowledge triad,and in the knowledge fusion stage,the word similarity method was used to integrate the knowledge and improve the accuracy of the atlas.Secondly,this paper established an improved standard knowledge graph for the electric power domain,which expresses the knowledge and rules in electric power standards more comprehensively.Finally,this paper combined Cypher query language and generative rules to realize the auxiliary knowledge quiz and condition assessment tasks of electric power equipment,which greatly enhances the utility of the graph.
分 类 号:TM73[电气工程—电力系统及自动化] TP391.1[自动化与计算机技术—计算机应用技术]
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