计算机科学

计算机科学 ›› 2024, Vol. 51 ›› Issue (11): 255-264.doi: 10.11896/jsjkx.231100079

• 人工智能 • 上一篇    下一篇

基于知识标注平台的水利枢纽工程知识图谱构建及应用

张军珲1,2, 昝红英1, 欧佳乐1, 阎子悦1, 张坤丽1   

  1. 1 郑州大学计算机与人工智能学院 郑州 450001
    2 黄河勘测规划设计研究院有限公司 郑州 450003
  • 收稿日期:2023-11-13 修回日期:2024-04-28 出版日期:2024-11-15 发布日期:2024-11-06
  • 通讯作者: 昝红英(iehyzan@zzu.edu.cn)
  • 作者简介:(zhang_jh@yrec.cn)
  • 基金资助:
    国家社会科学基金重大项目(21&ZD338)

Knowledge Annotation Platform-based Knowledge Graph Construction and Application for Water Conservancy Hub Projects

ZHANG Junhui1,2, ZAN Hongying1, OU Jiale1, YAN Ziyue1, ZHANG Kunli1   

  1. 1 College of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,China
    2 Yellow River Engineering Consulting Co.,Ltd,Zhengzhou 450003,China
  • Received:2023-11-13 Revised:2024-04-28 Online:2024-11-15 Published:2024-11-06
  • About author:ZHANG Junhui,born in 1986,Ph.D,senior engineer,is a member of CCF(No.07619G).Her main research intere-sts include natural language processing and so on.
    ZAN Hongying,born in 1966,Ph.D,professor,Ph.D supervisor,is a member of CCF(No.08671S).Her main research interests include machine translation,Q&A,abstract and machine learning.
  • Supported by:
    Major Program of the National Social Science Foundation of China(21&ZD338).

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摘要： 大量水利异构数据的产生,为领域知识图谱的构建及应用提供了场景,但也导致了水利知识图谱构建过程的差异。针对现有水利知识图谱构建流程复杂的问题,提出了一套有效的基于知识标注平台的水利知识图谱构建流程。以小浪底水利枢纽工程知识的智能应用为例,使用该枢纽的工程数据,应用提出的流程在水利领域构建水利枢纽工程知识图谱(Water Conservancy Hub Project Knowledge Graph,WCHP-KG)。首先以小浪底水利枢纽工程为中心,依据行业术语标准和现有词汇表,制定了概念分类和关系描述体系,形成了WCHP-KG的模式层。通过BiLSTM-CRF和序列标注模型,在水利专家的指导下,使用知识标注平台对非结构化文本进行了半自动标注和人工校对,实现了知识融合,进而构建了WCHP-KG的数据层。结果表明WCHP-KG涵盖了43种水利实体以及110种实体关系。经过实践验证,构建的WCHP-KG为小浪底水利枢纽工程的相关应用提供了有力的结构化知识基础,为工程决策和管理提供了可靠的参考依据,进而证明了所提构建流程的有效性。未来将进一步扩展WCHP-KG和完善水利知识图谱的构建流程,以适应更多的应用场景和领域需求。

关键词: 异构数据, 领域知识图谱, 知识图谱构建, 水利枢纽, 知识标注平台

Abstract: The generation of a significant volume of heterogeneous data in water resources has facilitated the creation and utilization of domain knowledge graphs,but it has led to discrepancies in the construction processes of these graphs.To address the complexities involved in building water resources knowledge graphs,an efficient approach based on a knowledge annotation platform is proposed.Taking the intelligent application of knowledge in Xiaolangdi Water Conservancy Hub project as an example,using the engineering data of the hub,the proposed method is applied to construct a water conservancy hub project knowledge graph(WCHP-KG) in the field of water conservancy.Firstly,focusing on the Xiaolangdi Water Conservancy Hub project,a construction for conceptual classification and relationship description is established based on industry terminology and existing voca-bularies,forming the pattern layer of WCHP-KG.Through BiLSTM-CRF and sequence labeling models,under the guidance of water conservancy experts,a knowledge annotation platform is used to semi-automatically annotate and manually proofread unstructured texts,achieving knowledge fusion and constructing the data layer of WCHP-KG.Results indicate that WCHP-KG co-vers 43 water conservancy entities and 110 entity relationships.Through practical validation,the proposed WCHP-KG provides a solid structured knowledge base for applications related to the Xiaolangdi Water Conservancy Hub project,and provides a reliable reference for engineering decision-making and management,validating the efficacy of the proposed construction method.In the future,WCHP-KG will be further expanded and the construction process will be improved to meet the needs of more application scenarios and fields.

Key words: Heterogeneous data, Domain knowledge graph, Knowledge graph construction, Water conservancy hub, Knowledge annotation platform

中图分类号: 

  • TP391
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