通过语义来丰富地球观测数据集,用于气候变化应用:EIFFEL的本体学
Benjamin Molina1, Carlos E Palau1, Jaime Calvo-Gallego2
1Communication Department, Universitat Politecnica de Valencia, Camí de Vera, s/n, Valencia, 46022, Spain.
Open research Europe
|November 13, 2024
概括
欧洲国际投资基金组织实体学 (EIFF-O) 改善了地球观测 (EO) 数据的发现和使用. 它统一了气候变化和可持续发展应用的各种数据集,提高了研究人员和数据科学家的可访问性.
科学领域:
- 地理空间科学是一个科学领域.
- 数据科学是数据科学.
- 环境科学环境科学
背景情况:
- 地球观测 (EO) 数据集对于决策支持和AI驱动的预测至关重要.
- 不一致的元数据和各种关键字阻碍了EO数据的可发现性和可用性.
- 整合各种EO数据集与现场数据存在挑战.
研究的目的:
- 为加强地球观测 (EO) 数据管理引入EIFFEL本体 (EIFF-O).
- 解决寻找和整合不同EO数据集的局限性.
- 促进EO数据在气候变化和可持续发展倡议中的应用.
主要方法:
- 欧洲远程传感公司协会 (EARSC) 在EIFF-O.O.内的正式分类.
- 嵌入式基本气候变量 (ECV) 和可持续发展目标 (SDG) 的本体学.
- 扩展了schema.org的词汇库,并利用了JavaScript对象符号用于链接数据 (JSON-LD) 进行语义网络集成.
主要成果:
- EIFF-O为EO数据集的分类和链接提供了一个统一的框架.
- 改善了地球观测数据的可发现性,可用性和应用性.
- 弥合了各种元数据和结构化分类之间的差距,以更好地整合数据.
结论:
- 埃菲尔 (EIFFEL) 实体学显著提升了EO数据集的组织和应用.
- 基金通过综合数据支持气候变化监测和可持续发展目标的实现.
- 由于EIFF-O的开源性质,促进了广泛的采用和开发.
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