《卫星气象学》课程知识图谱构建研究——一种基于教材的课程知识图谱原型构建框架与实践

Research on the Construction of a Knowledge Graph for the Satellite Meteorology Course—A Textbook-Based Framework and Practice for Building a Course Knowledge Graph Prototype

摘要: 针对《卫星气象学》课程知识体系宏大、交叉性强、逻辑层次复杂的特点，本文提出一种基于权威教材的结构化知识图谱构建方法。以陈渭民编著的经典教材《卫星气象学》为核心知识源，通过系统化的知识解构、语义关联与形式化表征，构建了一个覆盖课程全内容、体现知识内在逻辑的多层次领域知识图谱。图谱采用“理论–技术–分析–应用”四层架构和“概念–属性–关系”三维模型，完整集成了从辐射基础、卫星轨道、仪器原理到云图分析、参数反演及综合应用的完整知识体系。本文还阐述了从教材文本到结构化知识图谱的转化路径，包括知识单元提取、语义关系定义、本体构建与可视化表示等关键技术环节。研究可为气象遥感类课程的知识体系化建设与数字化资源开发提供系统的理论框架与方法参考。

Abstract: In response to the characteristics of the Satellite Meteorology course—its extensive knowledge system, strong interdisciplinary nature, and complex logical structure—this paper proposes a structured knowledge graph construction method based on authoritative textbooks. Taking the classic textbook Satellite Meteorology edited by Weimin Chen as the core knowledge source, a multi-level domain knowledge graph covering the entire course content and reflecting the intrinsic logic of knowledge is constructed through systematic knowledge deconstruction, semantic association, and formal representation. The graph adopts a four-tier architecture of “Theory-Technology-Analysis-Application” and a three-dimensional model of “Concept-Attribute-Relationship”, fully integrating the complete knowledge system ranging from radiation fundamentals, satellite orbits, and instrument principles to cloud image analysis, parameter retrieval, and comprehensive applications. This paper also elaborates on the transformation path from textbook text to a structured knowledge graph, including key technical steps such as knowledge unit extraction, semantic relationship definition, ontology construction, and visual representation. The study provides a systematic theoretical framework and methodological reference for the systematic development of knowledge systems and digital resources in meteorological remote sensing courses.