Knowledge Graph Based RDM Solutions

Harald Sack, Torsten Schrade,Oleksandra Bruns,Etienne Posthumus,Tabea Tietz, Ebrahim Norouzi, Jörg Waitelonis, Heike Fliegl, Linnaea Söhn, Julia Tolksdorf, Jonatan Jalle Steller,Abril Azócar Guzmán, Said Fathalla, Ahmad Zainul Ihsan, Volker Hofmann,Stefan Sandfeld,Felix Fritzen, Amir Laadhar,Sonja Schimmler,Peter Mutschke

Proceedings of the Conference on Research Data Infrastructure(2023)

引用 0|浏览1
暂无评分
摘要
Based on our experience within the NFDI4Culture and NFDI-MatWerk projects we propose generalized knowledge graph based research data management solutions, which are applicable to other consortia. Our solution covers the construction of a common NFDI core ontology adapted to specific domains via domain extensions as a basis for a knowledge graph (KG) providing information about a consortium and its related research data and software resources. This KG serves as a backend for the web portal that enables interactive access and management of this data. Already implemented for NFDI4Culture and to be adapted by NFDI-MatWerk, this solution might serve as an example solution also for other consortia. We are synchronizing our efforts with ongoing work to implement knowledge graph based research data management in NFDI4DataScience.
更多
查看译文
关键词
knowledge
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要