FAIR scientific information with the Open Research Knowledge Graph-Reference-Cited by-同舟云学术

FAIR scientific information with the Open Research Knowledge Graph

Published:2023-01-11 Issue:1 Volume:1 Page:19-21
ISSN:2949-799X
Container-title:FAIR Connect
language:
Short-container-title:FC

Author:

Stocker Markus¹^ORCID,Oelen Allard¹,Jaradeh Mohamad Yaser²,Haris Muhammad²,Oghli Omar Arab¹,Heidari Golsa²,Hussein Hassan¹,Lorenz Anna-Lena¹,Kabenamualu Salomon²,Farfar Kheir Eddine¹,Prinz Manuel¹,Karras Oliver¹,D’Souza Jennifer¹,Vogt Lars¹,Auer Sören¹

Affiliation:

1. TIB – Leibniz Information Centre for Science and Technology, Hannover, Germany

2. L3S Research Center, Leibniz University Hannover, Hannover, Germany

Abstract

The Open Research Knowledge Graph is an infrastructure for the production, curation, publication and use of FAIR scientific information. Its mission is to shape a future scholarly publishing and communication where the contents of scholarly articles are FAIR research data.

Publisher

IOS Press

Reference3 articles.

1. Calling international rescue: Knowledge lost in literature and data landslide!;Attwood;Biochemical Journal,2009

2. Improving access to scientific literature with knowledge graphs;Auer;Bibliothek Forschung und Praxis,2020

3. Which gene did you mean?

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Food information engineering;AI Magazine;2024-07-31

2. KG-EmpiRE: A Community-Maintainable Knowledge Graph for a Sustainable Literature Review on the State and Evolution of Empirical Research in Requirements Engineering;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

3. An approach based on open research knowledge graph for knowledge acquisition from scientific papers;The Electronic Library;2024-06-05

4. Semantic units: organizing knowledge graphs into semantically meaningful units of representation;Journal of Biomedical Semantics;2024-05-27

5. Linked Open Literature Review using the Neuro-symbolic Open Research Knowledge Graph;Companion Proceedings of the ACM Web Conference 2024;2024-05-13