气候变化知识图谱：支持气候服务
The Climate Change Knowledge Graph: Supporting Climate Services
AI总结：
气候变化知识图谱通过整合气候模拟数据，提供复杂查询能力，提升气候数据探索和决策支持
摘要：
气候变化影响广泛的人类资源和活动，需要使用气候模型来预测长期影响，并为缓解和适应策略提供信息。这些模型通过在不同情景和配置下运行模拟，生成多个数据集，从而涵盖各种可能的未来结果。目前，研究人员依赖传统的搜索界面和API来检索此类数据集，通常需要从元数据和社区词汇中拼凑信息。气候变化知识图谱旨在通过将与气候模拟相关的各种数据源整合到一个连贯且互操作的知识图谱中，解决这些问题。这种创新资源允许执行涉及气候模型、模拟、变量、时空领域和粒度的复杂查询。该知识图谱和其底层本体是通过领域专家的输入开发的，并以开放获取许可证发布，提供了一个全面的框架，增强了对气候数据的探索，从而在应对气候变化问题方面做出更有根据的决策。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
