摘要
电力领域知识图谱旨在充分利用电力物联网所承载的数据信息,以结构化方式刻画电力系统中的概念、实体、事件及其间的关系,为电力行业产业链提供一种更为有效的跨媒体大数据组织、管理、认知能力。结合大数据与人工智能技术,领域知识图谱正逐步成为推动电力人工智能发展的核心驱动力之一。论文概述了知识工程在电力系统中的发展历程,重点分析了我国电力企业对知识表示、图谱构建以及图谱应用的发展现状,针对我国电力物联网的数据特征与发展趋势提出了一种基于NoDKG(not only domain-specific knowledge graph)思想的电力领域知识图谱应用框架设计,并对领域知识图谱的应用方向与未来挑战进行总结与展望。
The purpose of introducing the electrical power domain-specific knowledge graph(DKG)is to make full use of the data information carried by the electrical power Internet of Things to describe the concepts,entities,events,and relationships between them in a structured way,so as to provide a more effective organization,management and cognitive ability of the cross-media bigdata for electrical power industrial chains.Combining with the bigdata and artificial intelligence(AI)technology,domain-specific knowledge graph is gradually becoming one of the core driving forces to promote the development of electric power artificial intelligence.This paper summarized the development process of knowledge engineering in power system,analyzed the development status of knowledge representation,DKG construction and DKG application in China’s power enterprises.And according to the data characteristics and development trends of electrical power Internet of Things in China,a so-called NoDKG(i.e.not only domain-specific knowledge graph)based knowledge engineering framework was puts forward.Finally,this paper discussed the application directions and future challenges of DKG technology.
作者
蒲天骄
谈元鹏
彭国政
徐会芳
张中浩
PU Tianjiao;TAN Yuanpeng;PENG Guozheng;XU Huifang;ZHANG Zhonghao(China Electric Power Research Institute,Haidian District,Beijing 100192,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第6期2080-2091,共12页
Power System Technology
基金
国家电网有限公司指南项目“领域知识图谱构建技术研究及其在客服智能问答系统中的应用”(5400-201953257A-0-0-00)支持
关键词
知识图谱
电力系统
知识工程
智能认知
knowledge graph
power system
knowledge engineering
intelligent cognition
