智能城市2025，Vol.11Issue(7)：10-14,5.DOI:10.19301/j.cnki.zncs.2025.07.003
基于ALBERT-XL的工业私有数据知识图谱构建方法
Knowledge graph construction method of industrial private data based on ALBERT-XL
摘要
Abstract
This paper studies the construction method of industrial private data knowledge graph.In the indexing stage,aiming at the spatio-temporal complexity caused by small samples and fragmentation of industrial private data,this paper proposes to use the preprocessed general knowledge graph structure information to pre-train and tune the encoder attention mechanism of the ALBERT model,and integrate the Transformer-XL framework into the ALBERT Transformer structure to improve its long text processing ability.The results show that the GraphRAG ALBERT-XL model can effectively generate a knowledge graph of industrial private data with high content fidelity,which solves the problems of high spatiotemporal complexity,lack of domain knowledge,and difficulty in long-distance dependent modeling of traditional methods,and experimentally verifies its efficiency and accuracy in data processing in the smelting and processing industry.关键词
工业私有数据/GraphRAG/知识图谱/ALBERTKey words
industrial private data/GraphRAG/knowledge graph/ALBERT分类
信息技术与安全科学引用本文复制引用
胡迪,吴星辰,刘晓鹏,伍志韬..基于ALBERT-XL的工业私有数据知识图谱构建方法[J].智能城市,2025,11(7):10-14,5.基金项目
广东省基础与应用基础研究基金(2022B1515120054) （2022B1515120054）
工业和信息化部电子第五研究所专项基金(23Z016) （23Z016）
