中国电力2024,Vol.57Issue(12) :198-205.DOI:10.11930/j.issn.1004-9649.202409084

基于知识图谱与大语言模型的电力行业知识检索分析系统研发与应用

Development and Application of a Knowledge Retrieval and Analysis System for the Power Industry Based on Knowledge Graph and Large Language Model

张金营 王哲峰 谢华 么长英 闵艳丽 王新颖
中国电力2024,Vol.57Issue(12) :198-205.DOI:10.11930/j.issn.1004-9649.202409084

基于知识图谱与大语言模型的电力行业知识检索分析系统研发与应用

Development and Application of a Knowledge Retrieval and Analysis System for the Power Industry Based on Knowledge Graph and Large Language Model

张金营 1王哲峰 1谢华 2么长英 2闵艳丽 3王新颖4
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作者信息

  • 1. 国电电力发展股份有限公司,辽宁 鞍山 100101
  • 2. 国能信控互联技术有限公司,北京 100080
  • 3. 同方知网数字出版技术股份有限公司,北京 100192
  • 4. 华北电力大学电气与电子工程学院,北京 102206
  • 折叠

摘要

随着人工智能技术飞速发展,电力行业知识检索系统面临着技术的更新迭代.提出了一种基于知识图谱与大语言模型的电力行业知识检索分析系统.首先,借助大语言模型挖掘用户需求并理解用户的意图;然后,针对不同结构的知识信息,通过知识建模、知识抽取、知识融合等策略来构建结构化的知识图谱;最后,利用大语言模型根据用户请求和从知识子图中获取的专业知识,并将生成内容可视化展示给用户,为电力行业知识检索系统提供了新思路.

Abstract

With the rapid development of artificial intelligence technology,knowledge retrieval systems in the power industry are facing technological updates and iterations.A knowledge retrieval and analysis system for the power industry based on knowledge graph and big language model has been proposed.Firstly,using big language models to mine user needs and understand their intentions;Then,for knowledge information with different structures,structured knowledge graphs are constructed through strategies such as knowledge modeling,knowledge extraction,and knowledge fusion;Finally,utilizing a large language model based on user requests and professional knowledge obtained from knowledge subgraphs,and visualizing the generated content for display to users,provides a new approach for knowledge retrieval systems in the power industry.

关键词

大语言模型/知识图谱/知识抽取

Key words

large language model/knowledge graph/knowledge extraction

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出版年

2024
中国电力
国网能源研究院 中国电机工程学会

中国电力

CSTPCDCSCD北大核心
影响因子:1.463
ISSN:1004-9649
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