使用单位本体学来注释先前存在的元数据
John H Porter1, Margaret O'Brien2, Marina Frants3
1University of Virginia, Charlottesville, Virginia, USA. jhp7e@virginia.edu.
Scientific data
|February 20, 2025
概括
通过标准化各种单位表示方式,环境数据的自动处理得到了改进. 将特设单元连接到统一的本体 (QUDT) 能够实现机器解释和数据发现.
科学领域:
- 环境科学环境科学
- 数据科学是数据科学.
- 本体学工程学 工程学 本体学
背景情况:
- 由于元数据中的单位表示不一致,对环境数据的自动处理具有挑战性.
- 像"gm/m2"",g/m^2"和"gramPerMeterSquared"这样的各种格式不能被机器解释.
研究的目的:
- 开发一种方法,将多种不同的特设单位表示方式与标准化本体学联系起来.
- 增强机器可解释性,并促进数据集与共享单元的识别.
主要方法:
- 采用连续的字符串转换来将非标准的单位表示映射到量化单位发现和类型化实体 (QUDT).
- 通过处理来自DataONE,环境数据倡议和美国国家生态观测站网络的生态元数据,创建了一个查找表.
主要成果:
- 成功地将91%的单位实例 (355,057中的324,811) 映射到QUDT单元.
- 虽然在7000多个单元中只有896个单独的单元被匹配,但高实例映射证明了实际的实用性.
结论:
- 通过QUDT等实体学标准化环境数据单元,大大提高了数据的可发现性和互操作性.
- 开发的方法和查找表允许自动注释元数据,促进数据集成和分析.
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