Organizing Scholarly Knowledge in the Open Research Knowledge Graph An Open-Science Platform for FAIR Scholarly Knowledge

S. Auer, M. Stocker, Oliver Karras, A. Oelen, Jennifer D'Souza, Anna-Lena Lorenz
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Abstract

The Open Research Knowledge Graph (ORKG) is an Open Science digital infrastructure for the production, curation, publication, and reuse of machine-actionable scholarly knowledge. Built on top of the RDF data model and extensible ontologies, the ORKG provides a common vocabulary for researchers to describe their research contributions and data, improving the discoverability and reusability of scholarly knowledge and research data. The ORKG includes tools for visualizing the relationships between different entities, making it easier to understand the connections between different pieces of research and their findings. It facilitates collaboration between researchers by providing a collaborative platform for organizing and sharing scholarly knowledge and data, reducing duplication and enabling more efficient use of resources. As research becomes increasingly data-driven, tools like the ORKG will become essential for enabling efficient, transparent, and collaborative research.
以开放的科研知识图谱组织学术知识——学术知识公平的开放科学平台
开放研究知识图谱(ORKG)是一个开放科学数字基础设施,用于生产、管理、出版和重用机器可操作的学术知识。ORKG建立在RDF数据模型和可扩展本体之上,为研究人员提供了一个通用词汇表来描述他们的研究贡献和数据,从而提高了学术知识和研究数据的可发现性和可重用性。ORKG包括用于可视化不同实体之间关系的工具,使其更容易理解不同研究片段及其发现之间的联系。它通过提供一个协作平台来组织和共享学术知识和数据、减少重复和更有效地利用资源,从而促进了研究人员之间的协作。随着研究越来越受数据驱动,像ORKG这样的工具将成为实现高效、透明和协作研究的必要工具。
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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