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水利项目报告合规性审查知识图谱构建方法
Zelin Ding1, Zhefei Fan1, Yuanfeng Hao2
1North China University of Water Resources and Electric Power, Zhengzhou City, Henan Province, China.
PloS one
|January 12, 2026
まとめ
本研究提出了一种知识图谱方法,以改进水利报告的合规性审查。它提高了“智慧水利”数字化转型的效率和准确性。
科学分野:
- 土木工程
- 计算机科学
- 信息科学
背景:
- 水利项目的人工合规性审查面临效率和准确性方面的挑战。
- 水利领域的数字化转型需要先进的数据处理方法。
研究 の 目的:
- 开发一种用于水利项目报告自动合规性审查的知识图谱构建方法。
- 加强“智慧水利”举措的数字化转型。
主な方法:
- 利用自然语言处理(NLP)和BERT-BiLSTM-CRF进行关键参数和条款的命名实体识别。
- 采用无上下文文法(CFG)进行关系解析和语义标记,以创建结构化知识三元组。
- 实施Neo4j图数据库和Py2neo工具包,以实现知识图谱的高效存储和动态更新。
主要な成果:
- 所提出的方法能够准确地识别工程参数和规范性条款。
- 实现了水利信息的结构化知识表示。
- 证明了使用Neo4j和Py2neo进行知识图谱的有效存储和动态更新。
結論:
- 知识图谱方法显著提高了水利项目报告合规性审查的效率和准确性。
- 为水利项目的数字化转型提供了技术支持。
- 为水利行业的智能化发展做出了贡献。
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