电工技术2024,Issue(16) :143-146.DOI:10.19768/j.cnki.dgjs.2024.16.037

基于知识图谱的电力标准智能问答系统研究

Knowledge Graph-based Intelligent Q&A System for Power Standards

刘沿娟 张栋栋 于海亮 刘玉玺 王一竹 陈宜亮
电工技术2024,Issue(16) :143-146.DOI:10.19768/j.cnki.dgjs.2024.16.037

基于知识图谱的电力标准智能问答系统研究

Knowledge Graph-based Intelligent Q&A System for Power Standards

刘沿娟 1张栋栋 1于海亮 1刘玉玺 1王一竹 1陈宜亮1
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作者信息

  • 1. 北京中电普华信息技术有限公司,北京 100192
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摘要

随着人工智能技术和机器学习技术的快速发展,目前智能问答系统已成为自然语言处理领域的热点研究之一.构建了一种基于知识图谱的电力标准智能问答系统,该系统通过对用户提出的问题进行分析理解,自动从知识库资源中获取信息并将搜索结果以多维度可视化的方式展示给用户.重点介绍了电力标准知识库构建过程以及问答系统实现方式,其中知识构建过程包含实体识别、实体间关系抽取、基于BERT-TextCNN网络结构的意图识别.系统实现包含系统设计方案以及系统界面展示结果.该系统的开发能够满足用户对电力标准知识的问答需求.

Abstract

At present,intelligent Q&A systems have become one of the research hotspots in the field of natural language processing owing to the rapid development of artificial intelligence and machine learning.This paper constructs a knowl-edge graph-based intelligent Q&A system for power standards.The system analyzes and understands the questions from users,automatically obtains information from knowledge base resources,and displays search results to users in a multi-dimensional visualization manner.The paper focuses on the construction process of the power standard knowledge base and the implementation method of the Q&A system.The knowledge construction process includes entity recognition,entity relationship extraction,and intention recognition method based on BERT-TextCNN network structure.The system imple-mentation includes the system design scheme and the system interface display results.The development of this system can meet users'Q&A needs for knowledge of power standards.

关键词

知识图谱/电力标准/BERT-TextCNN/多维度展示

Key words

knowledge graph/electricity standard/BERT-TextCNN/multidimensional display

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出版年

2024
电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
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