OKG-Soft: An Open Knowledge Graph with Machine Readable Scientific Software Metadata

2019 15th International Conference on eScience (eScience) Pub Date : 2019-09-01 DOI:10.1109/eScience.2019.00046

D. Garijo, Maximiliano Osorio, D. Khider, V. Ratnakar, Y. Gil

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引用次数: 19

Abstract

Scientific software is crucial for understanding, reusing and reproducing results in computational sciences. Software is often stored in code repositories, which may contain human readable instructions necessary to use it and set it up. However, a significant amount of time is usually required to understand how to invoke a software component, prepare data in the format it requires, and use it in combination with other software. In this paper we introduce OKG-Soft, an open knowledge graph that describes scientific software in a machine readable manner. OKG-Soft includes: 1) an ontology designed to describe software and the specific data formats it uses; 2) an approach to publish software metadata as an open knowledge graph, linked to other Web of Data objects; and 3) a framework to annotate, query, explore and curate scientific software metadata. OKG-Soft supports the FAIR principles of findability, accessibility, interoperability, and reuse for software. We demonstrate the benefits of OKG-Soft with two applications: a browser for understanding scientific models in the environmental and social sciences, and a portal to combine climate, hydrology, agriculture, and economic software models.

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OKG-Soft:一个具有机器可读科学软件元数据的开放知识图谱

在计算科学中，科学软件对于理解、重用和再现结果至关重要。软件通常存储在代码库中，其中可能包含使用和设置软件所需的人类可读指令。然而，通常需要大量的时间来理解如何调用软件组件，以所需的格式准备数据，并将其与其他软件结合使用。本文介绍了一种以机器可读方式描述科学软件的开放式知识图谱OKG-Soft。OKG-Soft包括:1)用于描述软件及其使用的特定数据格式的本体;2)一种将软件元数据作为开放知识图发布的方法，并与其他Web of Data对象相链接;3)一个对科学软件元数据进行标注、查询、挖掘和管理的框架。OKG-Soft支持软件的可查找性、可访问性、互操作性和重用性的FAIR原则。我们通过两个应用程序展示了OKG-Soft的好处:一个用于理解环境和社会科学科学模型的浏览器，以及一个结合气候、水文、农业和经济软件模型的门户。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 15th International Conference on eScience (eScience)

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