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Ontologies4Cat:研究催化研究数据管理的本体学格局

Alexander S Behr¹, Hendrik Borgelt², Norbert Kockmann²

¹Laboratory of Equipment Design, Faculty of Biochemical and Chemical Engineering, TU-Dortmund University, Emil-Figge-Strasse 68, 44139, Dortmund, NRW, Germany. alexander.behr@tu-dortmund.de.

Journal of cheminformatics

|February 7, 2024

概括

本研究引入了收集和分类催化研究本体学的系统方法,提高了数据的可查性,可访问性,互操作性和可重复使用性 (FAIR). 该方法包括工作流,代码库和自动类映射,以便更好地比较和重复使用本体学.

科学领域:

*科学数字化和数据管理.
* 化学信息学和知识表示.
*催化研究和材料科学.

背景情况:

*确保科学数据可查找,可访问,可互操作和可重复使用 (FAIR) 对机器处理至关重要.
*在机器可理解的格式中表示知识时,本体学是必不可少的,以提高数据的公平性.
* 现有的本体论坛缺少针对催化剂研究领域的深度分类和质量指标.

研究的目的:

* 开发一种系统的方法,在催化研究数据价值链中收集本体学元数据.
*根据催化子域对本体学进行分类,以便进行高效的比较和评估可重复使用性.
* 提供可重复使用的工作流,代码库和用于映射本体类的自动化方法.

主要方法:

*系统收集本体学元数据,重点关注催化研究数据价值链.
*基于催化研究中的特定子领域的本体学分类.
*开发一个工作流和代码库,用于GitHub上的元数据表示.
* 实现了一种自动化方法,用于在收集的实体学中映射和比较类.

主要成果:

* 一个结构化的本体学元数据集合用于催化研究.
* 一个对本体学的分类概述,使得有效的比较和差距的识别.
*为元数据管理和本体学分析提供了一种工作流和代码库.
* 一种自动化类映射方法,揭示了实体学间的关系.

结论:

* 开发的方法通过结构化本体学管理来提高催化研究数据的公平性.
*这种方法有助于有效地发现,比较和重复使用相关的本体学.
* 呈现的工作流和代码库可用于其他知识领域和本体学集合.
*这项工作有助于在催化研究中推进数据互操作性和知识发现.

关键词:

催化剂是一种催化剂.这些元数据是元数据.本体学分类的分类方法在本体学收藏的集合.研究数据管理研究数据管理语义网络是一个语义网络.

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