构建气候模拟知识图谱，让复杂数据查询更直观高效。
The Climate Change Knowledge Graph: Supporting Climate Services
- 用知识图谱整合多源气候模拟数据，支持跨模型查询。
- 可精准检索变量、时空范围和分辨率等组合条件。
- 适合气候研究者与政策制定者快速获取决策依据。
气候变化影响人类资源与活动的广泛领域，需依赖气候模型预测长期影响并支持减缓与适应策略。这些模型通过不同情景与配置运行模拟，生成大量数据集，覆盖多种未来可能结果。当前研究人员主要通过传统搜索界面和API获取数据，常需手动拼接元数据与社区词汇信息。为此，本文提出气候变迁知识图谱，将多元气候模拟相关数据源整合为统一、可互操作的知识图谱，支持涉及气候模型、模拟、变量、时空域及粒度的复杂查询。该知识图谱及其本体结构由领域专家共同设计，采用开放许可发布，提供全面框架，显著提升气候数据探索能力，助力应对气候变化的科学决策。
原文摘要 · Abstract (English)
Climate change impacts a broad spectrum of human resources and activities, necessitating the use of climate models to project long-term effects and inform mitigation and adaptation strategies. These models generate multiple datasets by running simulations across various scenarios and configurations, thereby covering a range of potential future outcomes. Currently, researchers rely on traditional search interfaces and APIs to retrieve such datasets, often piecing together information from metadata and community vocabularies. The Climate Change Knowledge Graph is designed to address these challenges by integrating diverse data sources related to climate simulations into a coherent and interoperable knowledge graph. This innovative resource allows for executing complex queries involving climate models, simulations, variables, spatio-temporal domains, and granularities. Developed with input from domain experts, the knowledge graph and its underlying ontology are published with open access license and provide a comprehensive framework that enhances the exploration of climate data, facilitating more informed decision-making in addressing climate change issues.
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