科技情报研究2025，Vol.7Issue(4)：58-69,12.DOI:10.19809/j.cnki.kjqbyj.2025.04.006
面向辅助决策的领域知识图谱构建及其场景式应用研究
Research on the Construction of Domain Knowledge Graph for Assisted Decision Making and its Scenario-oriented Application
摘要
Abstract
[Purpose/significance]This research constructed a domain knowledge graph and its scenario-oriented appli-cation framework for decision support at four levels:the data foundation layer,the key technology layer,the domain knowledge graph construction layer,and the scenario-oriented application layer.This framework aims to provide sys-tematic support for knowledge discovery.[Method/process]Based on the construction of a domain knowledge graph and its scenario-oriented application framework for decision support,this research focuses on the improvement of models and performance evaluation for fine-grained entity and relationship extraction at the discourse level within texts.The optimal model is selected to construct a domain knowledge graph.Taking the field of transformer equipment failure as an example,empirical studies are conducted to realize scenario-oriented applications aimed at decision support.[Re-sult/conclusion]The integrated pipeline knowledge extraction method,which combines the improved BERT-BiLSTM-CRF model and the PURE-RE model,has demonstrated superior comprehensive performance.The knowledge graph constructed for the domain of transformer faults has been verified against the expert knowledge in the"Equipment Standard Defect Knowledge Base",and the search results have passed verification.This effectively assists mainte-nance personnel in equipment inspection and maintenance,thereby validating the effectiveness and practicality of the framework established in this research.With the support of domain expert knowledge verification,it can effectively empower related fields to conduct decision support.关键词
领域知识图谱/命名实体识别/实体关系抽取/机器学习/电力领域文本/智能辅助决策Key words
domain knowledge graph/named entity recognition/entity relationship extraction/machine learning/elec-tricity domain text/intelligent decision support分类
社会科学引用本文复制引用
徐浩,葛琳琳,张焱,邓三鸿,康振渊..面向辅助决策的领域知识图谱构建及其场景式应用研究[J].科技情报研究,2025,7(4):58-69,12.基金项目
国家社会科学基金项目"大数据环境下学术成果真实价值与影响的实时预测及长期评价研究"(编号:19BTQ062) （编号:19BTQ062）
江苏高校哲学社会科学研究重大项目"研究方法的跨学科流动路径及其学科驱动力研究"(编号:2024SJZD066) （编号:2024SJZD066）
江苏省高校"青蓝工程"优秀青年骨干教师项目. （）
