电气设备缺陷知识图谱上的结构提示增强语言模型嵌入

Q4 Engineering
Hong Yang, Xiaokai Meng, Hua Yu, Yang Bai, Yu Han, Yongxin Liu
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引用次数: 0

摘要

知识图谱对电网领域产生了重大影响,促进了缺陷诊断和电网管理等各种应用。然而,知识图谱的推理能力尚未得到充分利用。本文探讨了知识图谱在电网缺陷诊断中的应用。我们构建了电气设备缺陷知识图谱并预测缺失链接,这也被称为知识图谱补全(KGC)。然而,我们注意到电气设备知识图谱存在长尾问题。为解决这一难题,我们提出了一种名为 SPALME(结构提示增强语言模型嵌入)的新型文本模型,该模型将结构信息作为提示信息。我们的模型利用了预训练语言模型的强大功能,使其能够理解知识图谱中实体和关系的语义信息。此外,通过在学习过程中将结构信息整合为提示信息,我们的模型可以有效地深入理解图的拓扑结构,从而有效捕捉电网设备之间错综复杂的依赖关系。我们在各种数据集上对我们的方法进行了评估。结果表明,在大多数数据集上,我们的模型始终优于基准方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure Prompt Augmented Language Model Embedding on Electrical Equipment Defect Knowledge Graph
Knowledge graphs have demonstrated significant impact in the power grid domain, facilitating various applications such as defect diagnosis and grid management. However, their reasoning capabilities have not been fully exploited. In this paper, we explore the utilization of knowledge graphs for power grid defect diagnosis. We construct an electrical equipment defect knowledge graph and predict missing links, which is also known as Knowledge Graph Completion (KGC). However, we notice the long-tail problem in electrical equipment knowledge graph. To tackle this challenge, we propose a novel text-based model named SPALME (Structure Prompt Augmented Language Model Embedding) that incorporates structural information as prompts. Our model leverages the power of pre-trained language models, allowing it to comprehend the semantic information of entities and relationships in the knowledge graph. Additionally, by integrating structural information as prompts during the learning process, our model gains a deeper understanding of the graph’s topological structure efficiently, effectively capturing intricate dependencies between grid equipments. We evaluate our approach on various datasets. The results demonstrate that our model consistently outperforms baseline methods on the majority of the datasets.
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来源期刊
International Journal of High Speed Electronics and Systems
International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering
CiteScore
0.60
自引率
0.00%
发文量
22
期刊介绍: Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.
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